The author presents a survey of the basic theory of thenbackpropagation neural network architecture covering architecturalndesign, performance measurement, function approximation capability, andnlearning. The survey includes previously known material, as well as somennew results, namely, a formulation of ...
The central theme of this paper is a description of the history, origination, operating characteristics, and basic theory of seve... B Widrow,MA Lehr 被引量: 21发表: 1993年 Theory of the backpropagation neural network The author presents a survey of the basic theory of thenbackpropagation ...
1 Chapter 1 Theoretical basis of biological neural network 2 Chapter 2 Review of artificial neural network 3 Chapter 3 Neuron model 3.1 Neuron model 4 Chapter 4 Perceptrons 5 Chapter 5 Back propagation neural network 6 Chapter 6 RBF neural network 7 Chapter 7 Adaline neural network 8...
추천 0 링크 번역 마감: MATLAB Answer Bot 2021년 8월 20일 Is there any one who worked on adaptive backpropagation based on lyapunov stability theory for neural network ? 댓글 수: 0 이 질문은 마감되었습니다...
Sensitivity analysis indicated that the learning rate influenced the simulation performance of linear neural network model. Transfer function of the second layer... WJ Zhang,CJ Bai,GD Liu - 《Ecological Modelling》 被引量: 60发表: 2007年 Towards the Optimal Learning Rate for Backpropagation A back...
The domain theory that contains this symbolic knowledge is implemented in a backpropagation neural network. The output of the backpropagation neural network gives a final recognition decision. The results of our simulations show that the recognition accuracy of the proposed Automatic Feature Based ...
General supervised learning as change propagation with delta lenses From Open Learners to Open Games Learners Languages A Constructive, Type-Theoretic Approach to Regression via Global Optimisation Characterizing the invariances of learning algorithms using category theory Functorial Manifold Learning Diegetic ...
This paper summarizes the development ofneural network theorybriefly and discusses the main trend of devel-oping and related newtopics based on the theory. 本文简要概括了神经网络理论的发展。 更多例句>> 5) back propagation neural network theory ...
Multilayered, feedforward neural network techniques have been proposed for a variety of classification and recognition problems ranging from speech to sonar signal processing problems. It is generally 关键词: CiteSeerX citations Complexity theory of neural networks and classification problems G Cybenko ...
Subsequently, integrated BP (back propagation) neural network models are established to seek for a quantitative regression between the iteratively obtained θ, εtom and other MCFT input parameters. Finally, the obtained regression equations are incorporated into traditional MCFT framework to determine the...