Search results for "feedforward neural networks"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Huisheng Zhang, Wei Wu	Boundedness and Convergence of Online Gradient Method with Penalty for Linear Output Feedforward Neural Networks.	Neural Processing Letters	2009	DBLP DOI BibTeX RDF	Linear output, Online gradient method, Convergence, Feedforward neural networks, Boundedness, Penalty
3	Fei Han, De-Shuang Huang	A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks.	Neural Computing and Applications	2008	DBLP DOI BibTeX RDF	The a priori information, Generalization performance, Function approximation, Feedforward neural networks, Convergent rate
3	Akarachai Atakulreka, Daricha Sutivong	Avoiding Local Minima in Feedforward Neural Networks by Simultaneous Learning.	Australian Conference on Artificial Intelligence	2007	DBLP DOI BibTeX RDF	Simultaneous Learning, Removal Criteria, Feedforward Neural Networks, Local Minima
3	Hammadi Nait-Charif, Hideo Ito	Improving the Performance of Feedforward Neural Networks by Noise Injection into Hidden Neurons.	Journal of Intelligent and Robotic Systems	1998	DBLP DOI BibTeX RDF	noise injection, fault tolerance, generalization, feedforward neural networks
2	Mounir Ben Nasr, Mohamed Chtourou	A fuzzy neighborhood-based training algorithm for feedforward neural networks.	Neural Computing and Applications	2009	DBLP DOI BibTeX RDF	Gradient descent algorithm, Supervised and unsupervised learning, Fuzzy self-organizing feature map, Hybrid training, Feedforward neural network
2	Yu Cui, Shi-Guang Ju, Fei Han, Tong-Yue Gu	An Improved Approach Combining Random PSO with BP for Feedforward Neural Networks.	AICI	2009	DBLP DOI BibTeX RDF	Particle swarm optimization, backpropagation, feedforward neural networks
2	Liying Ma, Khashayar Khorasani	An Adaptively Constructing Multilayer Feedforward Neural Networks Using Hermite Polynomials.	ICIC	2008	DBLP DOI BibTeX RDF	Adaptive structure neural networks, Multilayer feedforward neural networks, Hermite polynomials
2	Hieu Trung Huynh, Yonggwan Won	Evolutionary algorithm for training compact single hidden layer feedforward neural networks.	IJCNN	2008	DBLP DOI BibTeX RDF
2	Liying Ma	Facial expression recognition using 2-D DCT of binarized edge images and constructive feedforward neural networks.	IJCNN	2008	DBLP DOI BibTeX RDF
2	Hiroshi Ninomiya, Qi-Jun Zhang	Particle with ability of local search swarm optimization: PALSO for training of feedforward neural networks.	IJCNN	2008	DBLP DOI BibTeX RDF
2	Enrique Romero, Daniel Toppo	Comparing Support Vector Machines and Feedforward Neural Networks With Similar Hidden-Layer Weights.	IEEE Transactions on Neural Networks	2007	DBLP DOI BibTeX RDF
2	Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won	DNA Microarray Classification with Compact Single Hidden-Layer FeedForward Neural Networks.	FBIT	2007	DBLP DOI BibTeX RDF
2	Nikolaos Ampazis, Helen Iakovaki, Georgios Dounias	Author Identification of E-mail Messages with OLMAM Trained Feedforward Neural Networks.	ICTAI	2007	DBLP DOI BibTeX RDF
2	Wei Wu, Dong Nan, Zhengxue Li, Jinling Long	Approximation to a Compact Set of Functions by Feedforward Neural Networks.	IJCNN	2007	DBLP DOI BibTeX RDF
2	Naimin Zhang, Wei Wu, Gaofeng Zheng	Convergence of gradient method with momentum for two-Layer feedforward neural networks.	IEEE Transactions on Neural Networks	2006	DBLP DOI BibTeX RDF
2	T. Kathirvalavakumar, P. Thangavel	A Modified Backpropagation Training Algorithm for Feedforward Neural Networks*.	Neural Processing Letters	2006	DBLP DOI BibTeX RDF	linear error, modified standard backpropagation, nonlinear error, optimization criterion, single hidden layer network
2	Mounir Ben Nasr, Mohamed Chtourou	A Hybrid Training Algorithm for Feedforward Neural Networks.	Neural Processing Letters	2006	DBLP DOI BibTeX RDF	supervised and unsupervised learning, hybrid training, self-organizing map, feedforward neural network, gradient descent method
2	He-Sheng Tang, Song-Tao Xue, Rong Chen	On Hinfinity Filtering in Feedforward Neural Networks Training and Pruning.	ISNN	2006	DBLP DOI BibTeX RDF
2	Huawei Chen, Fan Jin	A Novel Learning Algorithm for Feedforward Neural Networks.	ISNN	2006	DBLP DOI BibTeX RDF
2	Jinhua Xu, Daniel W. C. Ho	A Node Pruning Algorithm Based on Optimal Brain Surgeon for Feedforward Neural Networks.	ISNN	2006	DBLP DOI BibTeX RDF
2	Marcela Jamett, Gonzalo Acuña	An Interval Approach for Weight's Initialization of Feedforward Neural Networks.	MICAI	2006	DBLP DOI BibTeX RDF
2	Huilan Jiang, Tangsheng Liu, Mengbin Wang	Direct Estimation of Fault Tolerance of Feedforward Neural Networks in Pattern Recognition.	ICONIP	2006	DBLP DOI BibTeX RDF
2	Xi Chen, Gaofeng Wang, Wei Zhou, Jiang-Feng Xu, Qinglin Zhang	Modeling Dynamic Feedforward Neural Networks with VHDL*.	IMSCCS	2006	DBLP DOI BibTeX RDF
2	Nakjin Choi, Jun-Seok Lim, Koeng-Mo Sung	An Efficient Recursive Total Least Squares Algorithm for Training Multilayer Feedforward Neural Networks.	ISNN	2005	DBLP DOI BibTeX RDF
2	Fei Han, Deshuang Huang, Yiu-ming Cheung, Guang-Bin Huang	A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks.	ISNN	2005	DBLP DOI BibTeX RDF
2	Abd-Krim Seghouane, Yassir Moudden, Gilles Fleury	Regularizing the effect of input noise injection in feedforward neural networks training.	Neural Computing and Applications	2004	DBLP DOI BibTeX RDF	Input noise injection, Penalization, Learning, Upper bound, Feedforward neural networks
2	Mehmet Karaköse, Erhan Akin	Type-2 fuzzy activation function for multilayer feedforward neural networks.	SMC	2004	DBLP DOI BibTeX RDF
2	Bao-Gang Hu, Hong-Jie Xing, Yujiu Yang	Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks.	ISNN	2004	DBLP DOI BibTeX RDF
2	Naotake Kamiura, Teijiro Isokawa, Kazuharu Yamato, Nobuyuki Matsui	On Retrieval of Lost Functions for Feedforward Neural Networks Using Re-Learning.	KES	2004	DBLP DOI BibTeX RDF
2	Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben	A Multiagent-Based Constructive Approach for Feedforward Neural Networks.	IDA	2003	DBLP DOI BibTeX RDF
2	Kwok-Wo Wong, Chi-Sing Leung, Sheng-Jiang Chang	Handwritten Digit Recognition Using Multi-Layer Feedforward Neural Networks with Periodic and Monotonic Activation Functions.	ICPR	2002	DBLP DOI BibTeX RDF
2	Rémi Coulom	Feedforward Neural Networks in Reinforcement Learning Applied to High-Dimensional Motor Control.	ALT	2002	DBLP DOI BibTeX RDF
2	Naotake Kamiura, Kazuharu Yamato, Teijiro Isokawa, Nobuyuki Matsui	Learning-Based On-Line Testing in Feedforward Neural Networks.	IOLTW	2002	DBLP DOI BibTeX RDF
2	Roman Neruda, Arnost Stedrý, Jitka Drkosová	Implementation of Kolmogorov Learning Algorithm for Feedforward Neural Networks.	International Conference on Computational Science	2001	DBLP DOI BibTeX RDF
2	Naotake Kamiura, Yasuyuki Taniguchi, Teijiro Isokawa, Nobuyuki Matsui	An Improvement in Weight-Fault Tolerance of Feedforward Neural Networks.	Asian Test Symposium	2001	DBLP DOI BibTeX RDF
2	M. Jiang, X. Yu	Terminal attractor based back propagation learning for feedforward neural networks.	ISCAS	2001	DBLP DOI BibTeX RDF
2	Xinghuo Yu, Mehmet Önder Efe, Okyay Kaynak	A backpropagation learning framework for feedforward neural networks.	ISCAS	2001	DBLP DOI BibTeX RDF
2	Spyros N. Raptis, Spyros G. Tzafestas, Hermione Karagianni	Optimal Genetic Representation of Complete Strictly-Layered Feedforward Neural Networks.	IWANN	2001	DBLP DOI BibTeX RDF
2	Stavros J. Perantonis, Nikolaos Ampazis, S. Spirou	Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates.	IJCNN	2000	DBLP DOI BibTeX RDF
2	Amit Gupta, Sang Park, Siuwa M. Lam	Generalized Analytic Rule Extraction for Feedforward Neural Networks.	IEEE Trans. Knowl. Data Eng.	1999	DBLP DOI BibTeX RDF	neural network, Classification, rule extraction
2	Bao-Liang Lu, H. Kita, Y. Nishikawa	Inverting feedforward neural networks using linear and nonlinear programming.	IEEE Transactions on Neural Networks	1999	DBLP DOI BibTeX RDF
2	Yasuyuki Taniguchi, Naotake Kamiura, Yutaka Hata, Nobuyuki Matsui	Activation Function Manipulation for Fault Tolerant Feedforward Neural Networks.	Asian Test Symposium	1999	DBLP DOI BibTeX RDF	sigmoid activation function, fault tolerance, stuck-at fault, feedforward neural network
2	Cesare Alippi	Feedforward neural networks with improved insensitivity abilities.	ISCAS	1999	DBLP DOI BibTeX RDF
2	Radim Belohlávek	Feedforward networks with fuzzy signals.	Soft Comput.	1999	DBLP DOI BibTeX RDF	adaptation, fuzzy sets, backpropagation, Feedforward neural networks, extension principle
2	Seán F. McLoone, M. D. Brown, George W. Irwin, G. Lightbody	A hybrid linear/nonlinear training algorithm for feedforward neural networks.	IEEE Transactions on Neural Networks	1998	DBLP DOI BibTeX RDF
2	Takehiro Ito, Itsuo Takanami	On fault injection approaches for fault tolerance of feedforward neural networks.	Asian Test Symposium	1997	DBLP DOI BibTeX RDF	snapping faults, learning cycle, ditribution of correlations, output neuron, fault tolerance, reliabilities, fault injection, stuck-at faults, computer simulation, learning algorithm, feedforward neural networks, feedforward neural nets, recognition rate, learning methods, internal structure
2	Adriana Dumitras, V. Lazarescu, Mircea Gh. Negoita	Learning as a multi-objective optimization in feedforward neural networks.	KES	1997	DBLP DOI BibTeX RDF
2	Zhong-yu Chen, Mita D. Desai, Xiao-Ping Zhang	Feedforward Neural Networks with Multilevel Hidden Neurons for Remotely Sensed Image Classification. (PDF / PS)	ICIP	1997	DBLP DOI BibTeX RDF	multilevel hidden neurons, remotely sensed image classification, overlapping pattern class, nonsparse pattern class, fuzzy pattern classification, LANDSAT TM data, image classification, pattern classification, feedforward neural networks, convergence property, hidden layer
2	Carl G. Looney	Advances in Feedforward Neural Networks: Demystifying Knowledge Acquiring Black Boxes.	IEEE Trans. Knowl. Data Eng.	1996	DBLP DOI BibTeX RDF	adaptive learning rate, pattern recognition, architecture, training, multilayered perceptrons, backpropagation, Feedforward neural networks
2	Slawomir W. Stepniewski, Andy J. Keane	Topology Design of Feedforward Neural Networks by Genetic Algorithms.	PPSN	1996	DBLP DOI BibTeX RDF
2	David Kopcso, Leo Pipino, William Rybolt, Anne Rybolt	The Human Machine Interface in Decision Support Systems: Comparing the Functional Mappings of Human Subjects to those Generated by Feedforward Neural Networks. (PDF / PS)	HICSS	1996	DBLP DOI BibTeX RDF
2	Andreas Bastian, Jorge Gasós	Selection of input variables for model identification of static nonlinear systems.	Journal of Intelligent and Robotic Systems	1996	DBLP DOI BibTeX RDF	static nonlinear systems, structure identification, feedforward neural networks, Model identification
2	K. W. Lee, H. N. Lam	Optimal Sizing of Feedforward Neural Networks: Case Studies.	ANNES	1995	DBLP DOI BibTeX RDF
2	Andries Petrus Engelbrecht, Ian Cloete, Jaco Geldenhuys, Jacek M. Zurada	Automatic Scaling using Gamma Learning for Feedforward Neural Networks.	IWANN	1995	DBLP DOI BibTeX RDF
2	Stanislaw Osowski, Robert Waszczuk, Piotr Bojarczak	Image Compression Using Feedforward Neural Networks - Hierarchical Approach.	IWANN	1995	DBLP DOI BibTeX RDF
1	Akira Hirose, Shotaro Yoshida	Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence.	IEEE Trans. Neural Netw. Learning Syst.	2012	DBLP DOI BibTeX RDF
1	Shuiming Zhong, Xiaoqin Zeng, Shengli Wu, Lixin Han	Sensitivity-Based Adaptive Learning Rules for Binary Feedforward Neural Networks.	IEEE Trans. Neural Netw. Learning Syst.	2012	DBLP DOI BibTeX RDF
1	Jianjun Wang, Baili Chen, Chan-Yun Yang	Approximation of algebraic and trigonometric polynomials by feedforward neural networks.	Neural Computing and Applications	2012	DBLP DOI BibTeX RDF
1	Wilfredo J. Puma-Villanueva, Euripedes P. dos Santos, Fernando J. Von Zuben	A constructive algorithm to synthesize arbitrarily connected feedforward neural networks.	Neurocomputing	2012	DBLP DOI BibTeX RDF
1	Marcin S. Szczuka, Dominik Slezak	Feedforward neural networks for compound signals.	Theor. Comput. Sci.	2011	DBLP DOI BibTeX RDF
1	Mounir Ben Nasr, Mohamed Chtourou	A self-organizing map-based initialization for hybrid training of feedforward neural networks.	Appl. Soft Comput.	2011	DBLP DOI BibTeX RDF
1	Saman Razavi, Bryan A. Tolson	A New Formulation for Feedforward Neural Networks.	IEEE Transactions on Neural Networks	2011	DBLP DOI BibTeX RDF
1	Jian Wang, Jie Yang 0007, Wei Wu	Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks.	IEEE Transactions on Neural Networks	2011	DBLP DOI BibTeX RDF
1	Xingjian Jing	An H∞ control approach to robust learning of feedforward neural networks.	Neural Networks	2011	DBLP DOI BibTeX RDF
1	Zhihong Man, Kevin Lee, Dianhui Wang, Zhenwei Cao, Chunyan Miao	A new robust training algorithm for a class of single-hidden layer feedforward neural networks.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	Jian Wang, Wei Wu, Jacek M. Zurada	Deterministic convergence of conjugate gradient method for feedforward neural networks.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	Sultan Uddin Ahmed, M. Shahjahan, Kazuyuki Murase	Injecting Chaos in Feedforward Neural Networks.	Neural Processing Letters	2011	DBLP DOI BibTeX RDF
1	Hieu Trung Huynh, Yonggwan Won	Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks.	Pattern Recognition Letters	2011	DBLP DOI BibTeX RDF
1	Juan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germán Gutiérrez Sánchez	Evolving time-lagged feedforward neural networks for time series forecasting.	GECCO (Companion)	2011	DBLP DOI BibTeX RDF
1	Yoshiyuki Asai, Alessandro E. P. Villa	Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks.	ICANN	2011	DBLP DOI BibTeX RDF
1	Akira Hirose, Shotaro Yoshida	Comparison of Complex- and Real-Valued Feedforward Neural Networks in Their Generalization Ability.	ICONIP	2011	DBLP DOI BibTeX RDF
1	Fei Han, Jiansheng Zhu	An improved ARPSO for feedforward neural networks.	ICNC	2011	DBLP DOI BibTeX RDF
1	Rohitash Chandra, Marcus R. Frean, Mengjie Zhang	Modularity adaptation in cooperative coevolution of feedforward neural networks.	IJCNN	2011	DBLP DOI BibTeX RDF
1	Xavier Glorot, Yoshua Bengio	Understanding the difficulty of training deep feedforward neural networks.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Manu Pratap Singh, Sanjeev Kumar, Naveen Kumar Sharma	Mathematical formulation for the second derivative of backpropagation error with non-linear output function in feedforward neural networks.	IJIDS	2010	DBLP DOI BibTeX RDF
1	Daohang Sha, Vladimir B. Bajic	An optimized recursive learning algorithm for three-layer feedforward neural networks for mimo nonlinear system identifications	CoRR	2010	DBLP BibTeX RDF
1	Abu Bakar Siddiquee, Md. Ehsanul Hoque Mazumder, S. M. Kamruzzaman	A Constructive Algorithm for Feedforward Neural Networks for Medical Diagnostic Reasoning	CoRR	2010	DBLP BibTeX RDF
1	HyungTae Kim, KangWon Lee, BongKeon Jeon, ChangSeop Song	Quick Wafer Alignment Using Feedforward Neural Networks.	IEEE T. Automation Science and Engineering	2010	DBLP DOI BibTeX RDF
1	Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis	Musical Composer Identification through Probabilistic and Feedforward Neural Networks.	EvoApplications	2010	DBLP DOI BibTeX RDF
1	Rohitash Chandra, Marcus R. Frean, Mengjie Zhang	An Encoding Scheme for Cooperative Coevolutionary Feedforward Neural Networks.	Australasian Conference on Artificial Intelligence	2010	DBLP DOI BibTeX RDF
1	Andrich B. van Wyk, Andries Petrus Engelbrecht	Overfitting by PSO trained feedforward neural networks.	IEEE Congress on Evolutionary Computation	2010	DBLP DOI BibTeX RDF
1	Konstantinos Koutroumbas, Yannis Bakopoulos	On the Approximation Capabilities of Hard Limiter Feedforward Neural Networks.	SETN	2010	DBLP DOI BibTeX RDF
1	Wilfredo J. Puma-Villanueva, Fernando J. Von Zuben	Evolving Arbitrarily Connected Feedforward Neural Networks via Genetic Algorithms.	SBRN	2010	DBLP DOI BibTeX RDF
1	Ivan Jordanov, Antoniya Georgieva	Feedforward neural networks for automated classification.	IEEE ICCI	2010	DBLP DOI BibTeX RDF
1	Feilong Cao, Rui Zhang	The errors of approximation for feedforward neural networks in the Lp metric.	Mathematical and Computer Modelling	2009	DBLP DOI BibTeX RDF
1	Huisheng Zhang, Wei Wu, Fei Liu, Mingchen Yao	Boundedness and Convergence of Online Gradient Method With Penalty for Feedforward Neural Networks.	IEEE Transactions on Neural Networks	2009	DBLP DOI BibTeX RDF
1	Charles Andoh	Stochastic Variance Models in Discrete Time with Feedforward Neural Networks.	Neural Computation	2009	DBLP DOI BibTeX RDF
1	Lei Chen, Guang-Bin Huang, Hung Keng Pung	Systemical convergence rate analysis of convex incremental feedforward neural networks.	Neurocomputing	2009	DBLP DOI BibTeX RDF
1	T. Kathirvalavakumar, S. Jeyaseeli Subavathi	Neighborhood based modified backpropagation algorithm using adaptive learning parameters for training feedforward neural networks.	Neurocomputing	2009	DBLP DOI BibTeX RDF
1	Naimin Zhang	An online gradient method with momentum for two-layer feedforward neural networks.	Applied Mathematics and Computation	2009	DBLP DOI BibTeX RDF
1	Moumen T. El-Melegy, Mohammed H. Essai, Amer A. Ali	Robust Training of Artificial Feedforward Neural Networks.	Foundations of Computational Intelligence	2009	DBLP DOI BibTeX RDF
1	Hieu Trung Huynh, Yonggwan Won	Online training for single hidden-layer feedforward neural networks using RLS-ELM.	CIRA	2009	DBLP DOI BibTeX RDF
1	Qing-Hua Ling, Fei Han	A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks.	ICIC	2009	DBLP DOI BibTeX RDF
1	Tingjun Li	The Application of BP Feedforward Neural Networks to the Irradiation Effects of High Power Microwave.	ISNN	2009	DBLP DOI BibTeX RDF
1	Henrik Saxén, Frank Pettersson	A Methodology for Developing Nonlinear Models by Feedforward Neural Networks.	ICANNGA	2009	DBLP DOI BibTeX RDF
1	Shuzhi Sam Ge, Yaozhang Pan, Qun Zhang, Lei Chen	Equivalent Relationship of Feedforward Neural Networks and Real-Time Face Detection System.	FIRA RoboWorld Congress	2009	DBLP DOI BibTeX RDF
1	Tong-Yue Gu, Shi-Guang Ju, Fei Han	A PSO Algorithm with the Improved Diversity for Feedforward Neural Networks.	IITSI	2009	DBLP DOI BibTeX RDF	feedfoward neural networks, Particle swarm optimization, diversity
1	Cesar Souza, Ednaldo Pizzolato, Renata Mendes, Audrey Borghi-Silva, Mauricio Machado, Paulo Correa	Artificial Neural Networks Prognostic Evaluation of Post-Surgery Complications in Patients Underwent to Coronary Artery Bypass Graft Surgery.	ICMLA	2009	DBLP DOI BibTeX RDF	Cardiovascular System, Coronary Artery Bypass Graft Surgery, Artificial Intelligence, Feedforward Neural Networks
1	Yunong Zhang, Gongqin Ruan	Bernoulli Neural Network with Weights Directly Determined and with the Number of Hidden- Layer Neurons Automatically Determined.	ISNN	2009	DBLP DOI BibTeX RDF	Bernoulli polynomials, Weights direct determination, Structure automatic determination, Feedforward neural networks, Hidden layer
1	Feilong Cao, Yongquan Zhang, Zongben Xu	Lower estimation of approximation rate for neural networks.	Science in China Series F: Information Sciences	2009	DBLP DOI BibTeX RDF	topology structure of hidden layer, lower, approximation, feedforward neural networks, rate