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检索条件"主题词=Backpropagation Algorithms"
1893 条 记 录,以下是1231-1240 订阅
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A New Learning Algorithm for Recurrent Networks
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IFAC Proceedings Volumes 1995年 第24期28卷 323-328页
作者: Daniel Volovici Dept. of Electrical Engineering and Computer Science University of Sibiu str. Revolutiei no. 4 2400-Sibiu Romania
The most popular methods for modifying feedforward and recurrent neural networks’ weights, accordingly the backpropagation methods, actually are gradient methods. Due to die fact that the gradient is a local measure,... 详细信息
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On initialization of neural network
On initialization of neural network
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International Conference on Neural Networks
作者: P. Costa-Hirschauer P. Larzabal H. Clergeot LESiR-ENS CNRS Cachan France URA CNRS LESiR-ENS Cachan Cachan France LTSMM-UAG French Guiana France
The paper concerns the problem of initialization in neural networks. We focus on backpropagation networks with one hidden layer. The initialization of the weights is crucial: if the network is incorrectly initialized,... 详细信息
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On the effect of the nonlinearity of the sigmoid function in artificial neural network classifiers
On the effect of the nonlinearity of the sigmoid function in...
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International Conference on Neural Networks
作者: S. Uchimura Y. Hamamoto S. Tomita Oshima Nat. Coll. of Maritime Technol. Japan Faculty of Engineering Yamaguchi University Ube Japan
Despite a considerable amount of recent directed towards pattern recognition applications of the artificial neural networks (ANNs), little quantitative information concerning the nonlinearity of the sigmoid function i... 详细信息
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Utilization of hierarchical structure stochastic automata for the back propagation method with momentum
Utilization of hierarchical structure stochastic automata fo...
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International Conference on Neural Networks
作者: N. Baba H. Handa Information Science Osaka Kyoiku University Kashihara Osaka Japan
backpropagation (BP) is one of the most popular learning algorithms for multilayer networks, but it has limitations. Various modified BP methods have therefore been proposed. The BP method with momentum may be one of ... 详细信息
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A sparse matrix approach to neural network training
A sparse matrix approach to neural network training
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International Conference on Neural Networks
作者: Fang Wang Q.J. Zhang Electronics Department Carleton University Ottawa ONT Canada
A new training technique, based on sparse matrix concept is developed for the training of multilayer perceptron. The proposed approach exploits the patterns of neuron activations in neural networks and substantially r... 详细信息
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A learning strategy for multilayer neural network using discretized Sigmoidal function
A learning strategy for multilayer neural network using disc...
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International Conference on Neural Networks
作者: S. Anna Durai P.V. Siva Prasad A. Balasubramaniam V. Ganapathy Anna University Chennai Chennai Tamil Nadu IN Sch. of Comput. Sci. & Eng. Anna Univ. Madras India
In this paper a new approach for training the multilayer neural network (MNN), is proposed based on the scheme of discretization of the sigmoidal threshold activation function at regular intervals. The discretized val... 详细信息
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A self-organizing system for the development of neural network parameter estimators
A self-organizing system for the development of neural netwo...
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IEEE Workshop on Neural Networks for Signal Processing
作者: M.T. Manry Department of Electrical Engineering University of Texas Arlington Arlington TX USA
The design an optimal neural network estimator from training data is difficult because: 1) the required complexity of the estimation network is unknown, 2) existing training algorithms for multilayer perceptrons (MLPs... 详细信息
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A hybrid RBF-HMM system for continuous speech recognition
A hybrid RBF-HMM system for continuous speech recognition
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: W. Reichl G. Ruske Institute for Human-Machine-Communication Munich University of Technology Munchen Germany
A hybrid system for continuous speech recognition, consisting of a neural network with radial basis functions and hidden Markov models is described in this paper together with discriminant training techniques. Initial... 详细信息
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Traditional and neural networks algorithms: applications to the inspection of marble slab
Traditional and neural networks algorithms: applications to ...
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IEEE International Conference on Systems, Man and Cybernetics
作者: V.G. Hernandez P.C. Perez L.G.G. Perez L.M.T. Balibrea H. Puyosa Pina Grupo de Visión y Robótica Departamento de Automática Electricidad y EIectronica IndustrialEscuela Técnica Superior de Ingenieros Industriales Universidad de Murcia Spain Grupo de Visiony Robotica Departamento de Automática Electricidad y EIectronica IndustrialEscuela TCcnica Superior de Ingenieros Industriales Universidad de Murcia Spain Grupo de Vision y Robotica Murcia Univ. Cartagena Spain
This article describes the traditional algorithms of deterministic and stochastic cluster analysis and classification (a priori and with learning), by comparing the results obtained using the classifiers based on neur... 详细信息
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An artificial neural network to linearize a G (tungsten vs. tungsten 26% rhenium) thermocouple characteristic in the range of zero to 2000/spl deg/C
An artificial neural network to linearize a G (tungsten vs. ...
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IEEE International Symposium on Industrial Electronics (ISIE)
作者: M. Attari F. Boudjema M. Heniche Institute of Electronics Department of Instrumentation University of Sciences and Technology Houari-Boumediene Algiers Algeria Inst. of Electron. Houri Boumediene Univ. of Sci. & Technol. Algiers Algeria Department of Electrical Engineering Ecole Nationale Polytechnique Algiers Algeria
An alternative way to correct sensors in order to exhibit good linearity is proposed. This paper describes the design and behavior of an artificial neural network (ANN) with two hidden layers of twelve neurons each fo... 详细信息
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