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检索条件"主题词=Backpropagation Algorithms"
1892 条 记 录,以下是1701-1710 订阅
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Non Linear Dynamical Process Control Using Neural Networks
Non Linear Dynamical Process Control Using Neural Networks
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Singapore International Conference on Intelligent Control and Instrumentation, SICICI
作者: M. Houkari C. Parey J.M. Martinez LRE Université EVE 22 France CEN/SACLAY Gif-sur-Yvette France
来源: 评论
Fast learning for multi-layer perceptrons using statistical techniques
Fast learning for multi-layer perceptrons using statistical ...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: E.R. Buhrke J.L. LoCicero Department of Electrical and Computer Engineering Illinois Institute of Technology Chicago IL USA
The authors describe a new learning algorithm for the multi-layer perceptron. The learning problem is stated formally as an optimization problem that is solved through a series of systematic approximations. The soluti... 详细信息
来源: 评论
Decomposed connectionist architecture for fast and robust learning of robot dynamics
Decomposed connectionist architecture for fast and robust le...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: D. Katic M. Vukobratovic Robotics Department Mihajlo Pupin Institut Belgrade Serbia
The application of connectionist architectures for fast and robust online learning of dynamic relations used in robot control at the executive hierarchical level is discussed. The proposed connectionist robot controll... 详细信息
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A guaranteed training of binary pattern mappings using Gaussian perceptron networks
A guaranteed training of binary pattern mappings using Gauss...
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International Joint Conference on Neural Networks (IJCNN)
作者: T.M. Kwon Department of Computer Engineering University of Minnesota Duluth MN USA
Training algorithms are introduced for single- and multiple-layered networks of Gaussian perceptrons. One characteristic of these algorithms is that they can guarantee that a network structure and the corresponding we... 详细信息
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Direct neuro-adaptive control of robot manipulators
Direct neuro-adaptive control of robot manipulators
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IEEE International Conference on Robotics and Automation (ICRA)
作者: A.Y. Zomaya M.E. Suddaby A.S. Morris Department of Electrical and Electronic Engineering University of Western Australia Perth WA Australia Department of Control Engineering University of Sheffield Sheffield UK
The authors present a method for the adaptive control of a robot arm based on a feedforward neural network. The method is based on the backpropagation algorithm. backpropagation is used within a learning by reinforcem... 详细信息
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Comparison of reinforcement algorithms on discrete functions: learnability, time complexity, and scaling
Comparison of reinforcement algorithms on discrete functions...
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International Joint Conference on Neural Networks (IJCNN)
作者: K.L. Markey M.C. Mozer Department of Computer Science & Institute of Cognitive Science University of Colorado Boulder CO USA
The authors compare the performances of a variety of algorithms in a reinforcement learning paradigm, including Ar-p, Ar-i, reinforcement-comparison (plus a new variation), and backpropagation of reinforcement gradien... 详细信息
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Nonlinear system identification using diagonal recurrent neural networks
Nonlinear system identification using diagonal recurrent neu...
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International Joint Conference on Neural Networks (IJCNN)
作者: C.-C. Ku K.Y. Lee Department of Electrical and Computer Engineering Pennsylvania State University University Park PA USA
The recurrent neural network is proposed for system identification of nonlinear dynamic systems. When the system identification is coupled with control problems, the real-time feature is very important, and a neuro-id... 详细信息
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A neural network model based on fuzzy classification concept
A neural network model based on fuzzy classification concept
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International Joint Conference on Neural Networks (IJCNN)
作者: Cheng-I Kao Yau Hwang Kuo Institute of Information Engineering National Cheng Kung University Tainan Taiwan
A fuzzy-based neural network (FBNN) model, which applies a one-pass algorithm is proposed. The theory of the FBNN model originates from embedding a fuzzy classification concept into a parallel neural network architect... 详细信息
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Strategies and issues in applications of neural networks
Strategies and issues in applications of neural networks
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International Joint Conference on Neural Networks (IJCNN)
作者: L.A. Feldkamp G.V. Puskorius L.I. Davis F. Yuan Ford Motor Company Limited Dearborn MI USA
The authors survey some of the fundamental aspects of neural networks that have been found crucial to their application to practical problems in diagnostics, modeling, and control. The analysis is a loosely connected ... 详细信息
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Sentence processing with realistic feedback
Sentence processing with realistic feedback
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International Joint Conference on Neural Networks (IJCNN)
作者: D. Schulenburg Department of Information & Computer Science University of California Irvine CA USA
The author presents a connectionist natural language processing model, SAIL1, which uses a recurrent network topology to process English sentences. SAIL1 will build the sentence meaning representation incrementally, i... 详细信息
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