Search results for "forecasting"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
39	Harris V. Georgiou, Petros Petrou, Panagiotis Tampakis, Stylianos Sideridis, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis	Future Location and Trajectory Prediction.	Big Data Analytics for Time-Critical Mobility Forecasting	2020	DBLP DOI BibTeX RDF
38	Otávio Augusto Salgado Carpinteiro, Isaías Lima, Edmilson Marmo Moreira, Carlos A. M. Pinheiro, Enzo Seraphim, J. Vantuil L. Pinto	A hierarchical hybrid neural model with time integrators in long-term load forecasting.	Neural Comput. Appl.	2009	DBLP DOI BibTeX RDF	Long-term electrical load forecasting, Neural networks, Time-series forecasting
38	Rastko Zivanovic	Local Regression-Based Short-Term Load Forecasting.	J. Intell. Robotic Syst.	2001	DBLP DOI BibTeX RDF	local polynomial regression, locally adaptive models, forecasting, power systems, nonparametric statistics, short-term load forecasting
35	Rafik A. Aliev, Bijan Fazlollahi, Rashad R. Aliev, Babek G. Guirimov	Fuzzy Time Series Prediction Method Based on Fuzzy Recurrent Neural Network.	ICONIP (2)	2006	DBLP DOI BibTeX RDF
35	Malú Castellanos, Norman Salazar, Fabio Casati, Umeshwar Dayal, Ming-Chien Shan	Predictive Business Operations Management.	DNIS	2005	DBLP DOI BibTeX RDF
35	Weimin Li, Jianwei Liu, Jiajin Le	Using GARCH-GRNN Model to Forecast Financial Time Series.	ISCIS	2005	DBLP DOI BibTeX RDF
34	Juan Méndez, Javier Lorenzo 0001, Mario Hernández	Experiments and Reference Models in Training Neural Networks for Short-Term Wind Power Forecasting in Electricity Markets.	IWANN (1)	2009	DBLP DOI BibTeX RDF
34	Tezuka Masaru, Munakata Satoshi	Daily demand forecasting of new products utilizing diffusion models and genetic algorithms.	SAC	2009	DBLP DOI BibTeX RDF	genetic algorithm, demand forecast, diffusion model, new product
34	Xuefeng Chen, Chaozhen Guo	The research on Power Marketing DSS based on Distributed Collaborative Forecasting model.	CSCWD	2009	DBLP DOI BibTeX RDF
34	Hang T. Nguyen, Ian T. Nabney	Combining the Wavelet Transform and Forecasting Models to Predict Gas Forward Prices.	ICMLA	2008	DBLP DOI BibTeX RDF
34	Cong Wang, Xiaoxia Zhang, Han Yan, Linlin Zheng	An Internet Traffic Forecasting Model Adopting Radical Based on Function Neural Network Optimized by Genetic Algorithm.	WKDD	2008	DBLP DOI BibTeX RDF
34	Lixia Liu, Wenjing Wang	Exchange Rates Forecasting with Least Squares Support Vector Machine.	CSSE (5)	2008	DBLP DOI BibTeX RDF
34	Jian-qiang Li, Cheng-lin Niu, Ji-zhen Liu, Jun-jie Gu	The Application of Data Mining in Electric Short-Term Load Forecasting.	FSKD (2)	2008	DBLP DOI BibTeX RDF
34	Huina Mao, Xiao-Jun Zeng, Gang Leng, Yongjie Zhai, John A. Keane	Short-Term Load Forecasting Based On Self-Organizing Fuzzy Neural Networks.	FUZZ-IEEE	2007	DBLP DOI BibTeX RDF
34	Luzia Vidal de Souza, Aurora T. R. Pozo, Joel Mauricio Corrêa da Rosa, Anselmo Chaves Neto	The boosting technique using correlation coefficient to improve time series forecasting accuracy.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
34	Ching-Hsue Cheng 0001, Hia Jong Teoh, Tai-Liang Chen	Forecasting Stock Price Index Using Fuzzy Time-Series Based on Rough Set.	FSKD (3)	2007	DBLP DOI BibTeX RDF
34	Ching-Hsue Cheng 0001, Tai-Liang Chen, Hia Jong Teoh	Multiple-Period Modified Fuzzy Time-Series for Forecasting TAIEX.	FSKD (3)	2007	DBLP DOI BibTeX RDF
34	Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Milde M. S. Lira, Aida Araujo Ferreira, Manoel A. Carvalho, Geane B. Silva, Josinaldo B. de Oliveira	Development of an Artificial Neural Network by Genetic Algorithm to Mid-Term Load Forecasting.	IJCNN	2007	DBLP DOI BibTeX RDF
34	Ivan Aquino, Cesar Oswaldo Perez Pinche, Jacqueline Karina Chavez Cuzcano, Samuel Oporto-Díaz	Daily Load Forecasting Using Quick Propagation Neural Network with a Special Holiday Encoding.	IJCNN	2007	DBLP DOI BibTeX RDF
34	Ghada Abdelmouez, Sherif Hashem, Amir F. Atiya, Mohamed A. El-Gamal	Neural Network vs. Linear Models for Stock Market Sectors Forecasting.	IJCNN	2007	DBLP DOI BibTeX RDF
34	Kunhuang Huarng, Tiffany Hui-Kuang Yu	Ratio-Based Lengths of Intervals to Improve Fuzzy Time Series Forecasting.	IEEE Trans. Syst. Man Cybern. Part B	2006	DBLP DOI BibTeX RDF
34	Li-Wei Lee, Li-Hui Wang, Shyi-Ming Chen, Yung-Ho Leu	Handling forecasting problems based on two-factors high-order fuzzy time series.	IEEE Trans. Fuzzy Syst.	2006	DBLP DOI BibTeX RDF
34	Fan-Yong Liu, Min Fan	A Hybrid Support Vector Machines and Discrete Wavelet Transform Model in Futures Price Forecasting.	ISNN (2)	2006	DBLP DOI BibTeX RDF
34	Dong-Xiao Niu, Bo Zhang, Mian Xing	Application of Neural Network Based on Particle Swarm Optimization in Short-Term Load Forecasting.	ISNN (2)	2006	DBLP DOI BibTeX RDF
34	Wen Xie, Lean Yu, Shanying Xu, Shouyang Wang	A New Method for Crude Oil Price Forecasting Based on Support Vector Machines.	International Conference on Computational Science (4)	2006	DBLP DOI BibTeX RDF
34	Fang Liu, Jian-Zhong Zhou, Fangpeng Qiu, Junjie Yang, Li Liu 0014	Nonlinear Hydrological Time Series Forecasting Based on the Relevance Vector Regression.	ICONIP (2)	2006	DBLP DOI BibTeX RDF
34	Shian-Chang Huang, Hsing-Wen Wang	Combining Time-Scale Feature Extractions with SVMs for Stock Index Forecasting.	ICONIP (3)	2006	DBLP DOI BibTeX RDF
34	Y. F. Sun, Yanchun Liang 0001, W. L. Zhang, H. P. Lee, W. Z. Lin, Lijuan Cao	Optimal partition algorithm of the RBF neural network and its application to financial time series forecasting.	Neural Comput. Appl.	2005	DBLP DOI BibTeX RDF	Optimal partition algorithm, Ordered samples, Stock price prediction, Neural network, Radial basis function, Financial time series
34	Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer	Defensive Forecasting for Linear Protocols.	ALT	2005	DBLP DOI BibTeX RDF
34	Melike Sah, Konstantin Y. Degtiarev	A New Trend Heuristic Time-Variant Fuzzy Time Series Method for Forecasting Enrollments.	ISCIS	2005	DBLP DOI BibTeX RDF
34	Xunming Li, Changyin Sun, Dengcai Gong	Application of Support Vector Machine and Similar Day Method for Load Forecasting.	ICNC (2)	2005	DBLP DOI BibTeX RDF
34	Sehun Lim 0001	Toward Global Optimization of ANN Supported by Instance Selection for Financial Forecasting.	ICNC (1)	2005	DBLP DOI BibTeX RDF
34	Lean Yu, Shouyang Wang, Kin Keung Lai	Adaptive Smoothing Neural Networks in Foreign Exchange Rate Forecasting.	International Conference on Computational Science (3)	2005	DBLP DOI BibTeX RDF
34	Arianna Mencattini, Marcello Salmeri, Stefano Bertazzoni, Roberto Lojacono, Eros Pasero, Walter Moniaci	Short Term Local Meteorological Forecasting Using Type-2 Fuzzy Systems.	WIRN/NAIS	2005	DBLP DOI BibTeX RDF
34	Athanasios Sfetsos, C. Siriopoulos	Time series forecasting with a hybrid clustering scheme and pattern recognition.	IEEE Trans. Syst. Man Cybern. Part A	2004	DBLP DOI BibTeX RDF
34	Kin Keung Lai, Lean Yu, Shouyang Wang	A Neural Network and Web-Based Decision Support System for Forex Forecasting and Trading.	CASDMKM	2004	DBLP DOI BibTeX RDF
34	Marcello Bertoli, Andrew Stranieri	Forecasting on Complex Datasets with Association Rules.	KES	2004	DBLP DOI BibTeX RDF
34	Zhigang Li 0001, Liangang Liu, Margaret H. Dunham	Considering Correlation between Variables to Improve Spatiotemporal Forecasting.	PAKDD	2003	DBLP DOI BibTeX RDF
34	Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús Manuel Riquelme-Santos, José Luís Martínez Ramos, Antonio Gómez Expósito	Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours.	DEXA	2002	DBLP DOI BibTeX RDF
34	Zhigang Li 0001, Margaret H. Dunham, Yongqiao Xiao	STIFF: A Forecasting Framework for SpatioTemporal Data.	Revised Papers from MDM/KDD and PAKDD/KDMCD	2002	DBLP DOI BibTeX RDF
34	K. P. G. Alekseev, José Manoel de Seixas	Forecasting the Air Transport Demand for Passengers with Neural Modelling.	SBRN	2002	DBLP DOI BibTeX RDF
34	Shouhong Wang	An Adaptive Approach to Market Development Forecasting.	Neural Comput. Appl.	1999	DBLP DOI BibTeX RDF
34	Emil Pelikán	Principles of Forecasting - A Short Overview.	SOFSEM	1999	DBLP DOI BibTeX RDF
34	Sergei M. Obraztsov, Dmitri V. Chelegatski, Inna N. Louneva, Alexander L. Shimkevich	Economic Forecasting by the Deterministic-Adaptive Method.	APL	1996	DBLP DOI BibTeX RDF	APL
34	Shaun-Inn Wu, Ruey-Pyng Lu	Combining Artificial Neural Networks and Statistics for Stock-Market Forecasting.	ACM Conference on Computer Science	1993	DBLP DOI BibTeX RDF
34	Amir F. Atiya, S. M. El-Shoura, Samir I. Shaheen, M. S. El-Sherif	A comparison between neural-network forecasting techniques-case study: river flow forecasting.	IEEE Trans. Neural Networks	1999	DBLP DOI BibTeX RDF
33	Jinlou Zhao, Yuzhen Han, Lixia Ke	A GM-Based Profitable Duration Prediction Model for Chinese Crude Oil Main Production District.	International Conference on Computational Science (3)	2007	DBLP DOI BibTeX RDF	GM, profitable duration, crude oil, forecasting, china
33	Rob Law 0001, Henry M. K. Mok, Carey Goh	Data Mining in Tourism Demand Analysis: A Retrospective Analysis.	ADMA	2007	DBLP DOI BibTeX RDF	data mining, tourism, business applications, demand forecasting
33	Dimitris E. Koulouriotis	Investment analysis & decision making in markets using adaptive fuzzy causal relationships.	Oper. Res.	2004	DBLP DOI BibTeX RDF	Evolutionary Fuzzy Cognitive Maps, Investor Reasoning and Decision Making, Financial Market Modeling and Forecasting
33	Dragoljub Pokrajac, Reed L. Hoskinson, Zoran Obradovic	Modeling Spatial-Temporal Data with a Short Observation History.	Knowl. Inf. Syst.	2003	DBLP DOI BibTeX RDF	Short observation history, Spatial-temporal data, Temporal and spatial database processing, Forecasting, Autoregressive models
33	Deepak Agarwal, Datong Chen, Long-ji Lin, Jayavel Shanmugasundaram, Erik Vee	Forecasting high-dimensional data.	SIGMOD Conference	2010	DBLP DOI BibTeX RDF	forecasting
33	Aranildo Rodrigues Lima Junior, David Augusto Silva, Paulo Salgado Gomes de Mattos Neto, Tiago A. E. Ferreira	An experimental study of fitness function and time series forecasting using artificial neural networks.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	genetic algorithms, artificial neural networks, GRASPES, fitness function, time series forecasting
33	Dilip P. Ahalpara	Improved forecasting of time series data of real system using genetic programming.	GECCO	2010	DBLP DOI BibTeX RDF	state-space reconstruction, genetic programming, time series forecasting
33	Richard Lackes, Chris Börgermann, Matthias Dirkmorfeld	Forecasting the Price Development of Crude Oil with Artificial Neural Networks.	IWANN (2)	2009	DBLP DOI BibTeX RDF	oil price prediction, price development, crude oil, future markets, neural networks, artificial intelligence, time series, forecasting
33	Ke Meng 0001, Zhaoyang Dong, Honggang Wang, Youyi Wang	Comparisons of Machine Learning Methods for Electricity Regional Reference Price Forecasting.	ISNN (1)	2009	DBLP DOI BibTeX RDF	Electricity reference price forecasting, Support vector machine, Relevance vector machine
33	Serge Parshutin, Ludmila Aleksejeva, Arkady Borisov	Forecasting Product Life Cycle Phase Transition Points with Modular Neural Networks Based System.	ICDM	2009	DBLP DOI BibTeX RDF	Forecasting Transition Points, Self-Organizing Maps, Modular Neural Networks, Product Life Cycle
33	Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme	Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences.	IDA	2009	DBLP DOI BibTeX RDF	Time series, forecasting, outliers
33	Lean Yu, Xun Zhang 0001, Shouyang Wang	Foreign Exchange Rates Forecasting with a C-Ascending Least Squares Support Vector Regression Model.	ICCS (2)	2009	DBLP DOI BibTeX RDF	Foreign exchange rates forecasting, least squares support vector regression, regularization parameter
33	Dragan Simic, Ilija Tanackov, Vladeta Gajic, Svetlana Simic	Financial Forecasting of Invoicing and Cash Inflow Processes for Fair Exhibitions.	HAIS	2009	DBLP DOI BibTeX RDF	cash inflow, data gravitation classification, heuristic interpolating, fair exhibition, case-based reasoning, Financial forecasting
33	Ruey-Chyn Tsaur	Forecasting analysis by using fuzzy grey regression model for solving limited time series data.	Soft Comput.	2008	DBLP DOI BibTeX RDF	Grey model GM(1,1), Fuzzy regression model, Fuzzy grey regression model, Forecasting
33	Zhaoguang Hu, Minjie Xu, Baoguo Shan, Xiandong Tan	Laboratory of Policy Study on Electricity Demand Forecasting by Intelligent Engineering.	IDEAL	2008	DBLP DOI BibTeX RDF	Intelligent engineering, Laboratory of policy study, Electricity demand forecasting, Generalized model, Intelligent space
33	Guangfeng Jia, Yuehui Chen, Peng Wu	MENN Method Applications for Stock Market Forecasting.	ISNN (1)	2008	DBLP DOI BibTeX RDF	Stock Market Forecasting, Artificial Neural Network, Multi Expression Programming
33	Yongli Wang, Dongxiao Niu, Weijun Wang	SVM Model Based on Particle Swarm Optimization for Short-Term Load Forecasting.	ISNN (2)	2008	DBLP DOI BibTeX RDF	SVM, Particle swarm optimization, Load forecasting
33	Wei Li, Zhu-Hua Han	Short-Term Power Load Forecasting Using Improved Ant Colony Clustering.	WKDD	2008	DBLP DOI BibTeX RDF	Power Load Forecasting, IACC, Colony Clustering, Load Curves
33	Yanmei Li, Feng Ren, Wei Sun	Short-Term Load Forecasting Based on Bayes and SVR.	ICIRA (1)	2008	DBLP DOI BibTeX RDF	SVR, Load forecasting, Knowledge Reduction, Bayes
33	Konsta Sirvio, Jaakko Hollmén	Spatio-temporal Road Condition Forecasting with Markov Chains and Artificial Neural Networks.	HAIS	2008	DBLP DOI BibTeX RDF	Road condition forecasting, k-means++, clustering, neural networks, machine learning, Markov chains
33	Daming Shi 0001, Hiok Chai Quek, R. Tilani, Jiacai Fu	Product Demand Forecasting with a Novel Fuzzy CMAC.	Neural Process. Lett.	2007	DBLP DOI BibTeX RDF	truth value restriction, neural networks, Time series, forecasting, fuzzy, CMAC
33	Balaji Krithikaivasan, Yong Zeng, Kaushik Deka, Deep Medhi	ARCH-based traffic forecasting and dynamic bandwidth provisioning for periodically measured nonstationary traffic.	IEEE/ACM Trans. Netw.	2007	DBLP DOI BibTeX RDF	autoregressive conditional heteroskedasticity, heavy-tailedness, nonstationary traffic, probability-hop forecasting, bandwidth provisioning
33	Hsing-Wen Wang	Intelligent forecasting models-selection system for the portfolio internal structure change.	Soft Comput.	2007	DBLP DOI BibTeX RDF	Efficient frontier, Internal structure change, Intelligent selection mechanism, Forecasting model, Portfolio optimization
33	Wei Wu, Xuan Wang, Deti Xie, Hongbin Liu 0003	Soil Water Content Forecasting by Support Vector Machine in Purple Hilly Region.	CCTA	2007	DBLP DOI BibTeX RDF	soil water content, support vector machines, prediction, time series, forecasting, statistical learning
33	Ivan Simeonov, Hristo Kilifarev, Rajcho Ilarionov	Algorithmic realization of system for short-term weather forecasting.	CompSysTech	2007	DBLP DOI BibTeX RDF	meteorological data correlations, methods for weather forecasting, statistical processing, surface features, algorithms
33	Luis Aburto, Richard Weber 0002	A Sequential Hybrid Forecasting System for Demand Prediction.	MLDM	2007	DBLP DOI BibTeX RDF	Hybrid Forecasts, Neural Networks, Demand Forecasting, ARIMA
33	Ziping Chiang, Dar-Ying Jan, Hsueh-Sheng Chang	The Study of Pavement Performance Index Forecasting Via Improving Grey Model.	ICIC (2)	2007	DBLP DOI BibTeX RDF	Pavement Performance, Time Series Forecasting, Grey Model
33	Bo Tian, Zheng Qin, Lei Yang	Population Forecasting Model Based on Wavelet Least Squares Support Vectors Machines.	ICIC (3)	2007	DBLP DOI BibTeX RDF	population forecasting, wavelet kernel function, least squares support vector machines
33	Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun 0002	Multiobjective Evolutionary Neural Networks for Time Series Forecasting.	EMO	2007	DBLP DOI BibTeX RDF	Multiobjective Evolutionary Neural Network, Time Series Forecasting
33	Jing-Rong Chang, Ya-Ting Lee, Shu-Ying Liao, Ching-Hsue Cheng 0001	Cardinality-Based Fuzzy Time Series for Forecasting Enrollments.	IEA/AIE	2007	DBLP DOI BibTeX RDF	Weighted fuzzy rules, Association rule, Forecasting, Fuzzy time series
33	Ronaldo R. B. de Aquino, Geane B. Silva, Milde M. S. Lira, Aida Araujo Ferreira, Manoel A. Carvalho, Otoni Nóbrega Neto, Josinaldo B. de Oliveira	Combined Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for Improving a Short-Term Electric Load Forecasting.	ICANN (2)	2007	DBLP DOI BibTeX RDF	Artificial Neural Network, Hybrid System, Neuro-Fuzzy System, Load Forecasting
33	Muriel Perez	Artificial neural networks and bankruptcy forecasting: a state of the art.	Neural Comput. Appl.	2006	DBLP DOI BibTeX RDF	Bankruptcy forecasting, Connexionism, Neural networks
33	Hema Prem, N. R. Srinivasa Raghavan	A Support Vector Machine Based Approach for Forecasting of Network Weather Services.	J. Grid Comput.	2006	DBLP DOI BibTeX RDF	available CPU, network weather services, support vector machines, forecasting, performance metrics, network bandwidth
33	Wei Hao, Songnian Yu	Support Vector Regression for Financial Time Series Forecasting.	PROLAMAT	2006	DBLP DOI BibTeX RDF	Support Vector Regression, Financial Time Series forecasting
33	Jingmin Wang, Kanzhang Wu	Study of the SMO Algorithm Applied in Power System Load Forecasting.	PRICAI	2006	DBLP DOI BibTeX RDF	kennel function, Support vector machine, load forecasting, Sequential minimal optimization
33	Huicheng Zhou, Li Wu, Yu Guo	Mid- and long term hydrologic forecasting for drainage area based on WNN and FRM.	ISDA (1)	2006	DBLP DOI BibTeX RDF	Mid- and long term hydrologic forecasting, FRM, WNN, forecast factors
33	Yoon Jung Chung, In-Jung Kim, Chulsoo Lee, Eul-Gyu Im, Dongho Won	Design of an On-Line Intrusion Forecast System with a Weather Forecasting Model.	ICCSA (4)	2006	DBLP DOI BibTeX RDF	Damage Propagation, Information Security control system (ISMS), Forecast, Intrusion, Weather Forecasting
33	Ian Nunn, Tony White	The application of antigenic search techniques to time series forecasting.	GECCO	2005	DBLP DOI BibTeX RDF	antigenic search, time series, artificial immune systems, forecasting
33	Md. Rafiul Hassan, Baikunth Nath	StockMarket Forecasting Using Hidden Markov Model: A New Approach.	ISDA	2005	DBLP DOI BibTeX RDF	stock market forecasting, feature selection, HMM, financial time series
33	Kyoung-Jae Kim	Toward Global Optimization of Case-Based Reasoning Systems for Financial Forecasting.	Appl. Intell.	2004	DBLP DOI BibTeX RDF	simultaneous optimization, feature discretization, genetic algorithms, case-based reasoning, financial forecasting
33	Sukhvinder Singh Panesar, W. Wang	Electricity Demand Forecasting Using Neural Networks.	IDEAL	2003	DBLP DOI BibTeX RDF	Multi-Version System, Neural Net-works, Data Mining, Decision Tree, Forecasting
33	Víctor Manuel Rivas Santos, Pedro Ángel Castillo Valdivieso, Juan Julián Merelo Guervós	Evolved RBF Networks for Time-Series Forecasting and Function Approximation.	PPSN	2002	DBLP DOI BibTeX RDF	EO, functional estimation, evolutionary algorithms, RBF, time series forecasting
33	Elena Montañés, José Ramón Quevedo, Maria M. Prieto, César O. Menéndez	Forecasting Time Series Combining Machine Learning and Box-Jenkins Time Series.	IBERAMIA	2002	DBLP DOI BibTeX RDF	Box-Jenkins Time Series, Continuous Machine Learning Systems, Neural Networks, Forecasting
33	John V. Ringwood, D. Bofelli, Fiona T. Murray	Forecasting Electricity Demand on Short, Medium and Long Time Scales Using Neural Networks.	J. Intell. Robotic Syst.	2001	DBLP DOI BibTeX RDF	electrical load, electricity demand, Box-Jenkins model, artificial neural networks, load forecasting
33	Pei Ling Lai, Shang Jen Chuang, Colin Fyfe	Power Load Forecasting Using Neural Canonical Correlates.	ICPR	2000	DBLP DOI BibTeX RDF	nonlinear Forecasting, Canonical Correlation Analysis
28	Seema N. Pandey, Shashikala Tapaswi, Laxmi Srivastava	Growing RBFNN-based soft computing approach for congestion management.	Neural Comput. Appl.	2009	DBLP DOI BibTeX RDF	Congestion management (CM), Congestion zones, Growing radial basis function neural network, Nodal congestion prices, Vector quantization clustering, Restructuring
28	Waleed M. Azmy, Neamat El Gayar, Amir F. Atiya, Hisham El-Shishiny	MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction.	MCS	2009	DBLP DOI BibTeX RDF	NN3 data, Wilcoxon, diversity, MLP, Gaussian Processes, Time series prediction, Negative Correlation Learning
28	ShuXia Yang	The Forecast of Power Demand Cycle Turning Points Based on ARMA.	WKDD	2009	DBLP DOI BibTeX RDF
28	Liu Bin, Cui Wentian, Xin Chunlin	Cash Management and Its Risk Control under No-Stationary Uncertain Demand.	ISECS	2008	DBLP DOI BibTeX RDF	Cash balance problem, Online Algorithm with Risk-reward, Competitive Ratio
28	Chao-Feng Cai, Ying-Ying Zhang, Xue Liu 0002, Pei-Ji Liang, Pu-Ming Zhang	Chaos Detection in the Firing Activities of Retinal Ganglion Cells in Response to Natural Stimuli.	BMEI (1)	2008	DBLP DOI BibTeX RDF
28	Fatih Onur Hocaoglu, Ömer Nezih Gerek, Mehmet Kurban	A Novel 2-D Model Approach for the Prediction of Hourly Solar Radiation.	IWANN	2007	DBLP DOI BibTeX RDF
28	Tian Bo, Qin Zheng	Empirical Study of Financial Affairs Early Warning Model on Companies Based on Artificial Neural Network.	ICNC (1)	2006	DBLP DOI BibTeX RDF
28	Peter Nielsen, Kenn Steger-Jensen	Demand Planning & Control - Handling Multiple Perspectives Through a Holistic Approach to Hierarchical Planning.	APMS	2006	DBLP DOI BibTeX RDF
28	Ajith Abraham, Baikunth Nath, Prabhat Kumar Mahanti	Hybrid Intelligent Systems for Stock Market Analysis.	International Conference on Computational Science (2)	2001	DBLP DOI BibTeX RDF