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检索条件"主题词=Backpropagation Algorithms"
1893 条 记 录,以下是1341-1350 订阅
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Customizing parallel formulations of backpropagation learning algorithm to neural network architectures: a summary of result
Customizing parallel formulations of backpropagation learnin...
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International Conference on Tools for Artificial Intelligence (ICTAI)
作者: M.B. Amin S. Shekhar Department of Computer Science University of Minnesota Minneapolis MN USA
Several generic parallel formulations of the backpropagation learning algorithm have been proposed recently. Further speedups are possible by customizing parallel formulations to the architecture of the neural network... 详细信息
来源: 评论
Truncated backpropagation through time and Kalman filter training for neurocontrol
Truncated backpropagation through time and Kalman filter tra...
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International Joint Conference on Neural Networks (IJCNN)
作者: G.V. Puskorius L.A. Feldkamp Research Laboratory Ford Motor Company Limited Dearborn MI USA
We have recently established the feasibility of training recurrent neural networks by parameter-based decoupled extended Kalman filter (DEKF) algorithms for control of nonlinear dynamical systems. In this paper we inv... 详细信息
来源: 评论
Two adaptive stepsize rules for gradient descent and their application to the training of feedforward artificial neural networks
Two adaptive stepsize rules for gradient descent and their a...
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International Joint Conference on Neural Networks (IJCNN)
作者: M. Mohandes C.W. Codrington S.B. Gelfand School of Electrical Engineering Purdue University West Lafayette IN USA
Gradient descent, in the form of the well-known backpropagation algorithm, is frequently used to train feedforward neural networks, i.e. to find the weights which minimize some error measure /spl epsi/. Generally, the... 详细信息
来源: 评论
Neural-like network model for color images analysis systems
Neural-like network model for color images analysis systems
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International Joint Conference on Neural Networks (IJCNN)
作者: D. Benitez-Diaz J. Carrabina M. Gonzalez-Rodriguez Departmento de informática y Sistemas. Edificio Department Informática y Matemáticas Universidad de Las Palmas de Gran Canaria Las Palmas Spain Centro Nacional de Microelectrònica Universitat Autònoma Barcelona Coruna Spain
In this paper we present the chromatic neural-like network. It is a two-layer network architecture used in an image analysis system to learn objects classification tasks. Each processing unit in the hidden layer is co... 详细信息
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Comparison of four learning algorithms for multilayer perceptron with FIR synapses
Comparison of four learning algorithms for multilayer percep...
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International Joint Conference on Neural Networks (IJCNN)
作者: N. Benvenuto F. Piazza A. Uncini Dipartimento di Elettronica e Informatica Università di Padova Italy Dipartimento di Elettronica e Automatica Università di Ancona Italy
In recent years many training algorithms for dynamic neural networks have been proposed. As a matter of fact, it is well known that the exact training algorithm for dynamic networks, is non causal and can be implement... 详细信息
来源: 评论
Neural network for human cognitive state estimation
Neural network for human cognitive state estimation
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Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94)
作者: M. Takahashi O. Kubo M. Kitamura H. Yoshikawa Institute of Atomic Energy Kyoto University Kyoto Japan
A neural network (NN) has been applied to the human cognitive state estimation based on the set of physiological measures, heart rate, blood pressure, respiration rate, skin potential response (SPR), blink rate and sa... 详细信息
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Layered neural networks with horizontal connections can reduce the number of units
Layered neural networks with horizontal connections can redu...
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International Joint Conference on Neural Networks (IJCNN)
作者: J. Smid Department of Mathematics Morgan State University Baltimore MD USA
We define layered networks with horizontal connections as networks having units that receive inputs from the lower layer and also from the previous units of the same layer. We show that architecture with horizontal co... 详细信息
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A discriminative training algorithm for predictive neural network models
A discriminative training algorithm for predictive neural ne...
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IEEE International Symposium on Circuits and Systems (ISCAS)
作者: KyungMin Na JaeYeol Rheem SouGuil Ann Department of Electronics Engineering Seoul National University Seoul South Korea
Predictive neural network models are powerful speech recognition models based on a nonlinear pattern prediction. Those models, however, suffer from poor discrimination between acoustically similar speech signals. In t... 详细信息
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Ternary synaptic weights algorithm: neural network training with don't care attributes
Ternary synaptic weights algorithm: neural network training ...
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International Symposium on Speech, Image Processing and Neural Networks
作者: F. Ulgen N. Akamatsu Justsystem Corporation Tokushima Japan University of Tokushima Tokushima Japan
Classification systems, which have long been realized through rule-based systems, are now being implemented with neural-expert system hybrids because of the well known difficulties associated with the formation of rul... 详细信息
来源: 评论
Scaling properties of on-line learning with momentum
Scaling properties of on-line learning with momentum
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International Joint Conference on Neural Networks (IJCNN)
作者: T. Heskes W. Wiegerinck A. Komoda Beckman Institute and Department of Physics University of Illinois Urbana IL USA Department of Medical Physics and Biophysics University of Nijinegen Toernooiveld Nijmegen Netherlands
We study online learning with momentum term for nonlinear learning rules. Through introduction of auxiliary variables, we show that the learning process can still be described by a first-order Markov process. For smal... 详细信息
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