... Delayed Neural Network)、多层反馈神经网络(Multilayer Feedforward Neural Networks)、谱分析人工神经网络(Spectr…tieba.baidu.com|基于6个网页 2. 多层前向网络 多层前向网,M... ... ) Multilayer feedforward neural nets 多层前向网 ) multilayer feedforward neural networks 多层前向网络 ... www.di...
(1989). Multilayer feedforward networks are universal approximators. Neural networks, 2(5), 359-366. 原论文似乎有一些笔误,包括 (但可能不限于) 推论2.1 的叙述中原文的 μ(K)<1−ϵ 应该为 μ(K)>1−ϵ; 引理A.2 证明中“ Ar,s(r)=M 且Ar,s(s)=−M”应为“ Ar,s(r)=−M...
Wang Zhenni,Tham Ming T,Morris A.Multilayer Feedforward Neural Networks:A Canonical form Approximation of Nonlinearity,Int J.Control,1992,56(3):655～672.Wang Zhenni , Tham Ming T ,Morris A J ulian. Multilayer Feedforward Neural Networks :A Canonical form Approximation of Nonlinearit y. Int ...
This paper presents a highly effective and precise neural network method for choosing the activation functions (AFs) and tuning the learning parameters (LPs) of a multilayer feedforward neural network by using a genetic algorithm (GA). The performance of the neural network mainly depends on the ...
Multilayer feedforward neural network(MFNN) contains three factors,i.e.,multilayer structure,identifiable neuron characteristic function and back-propagation Algorithm.According to the structure and the mechanism of MFNN,this paper analyzes the nonlinear function mapping capabilities.Then the system can ach...
网络多层前向人工神经网络 网络释义 1. 多层前向人工神经网络 ... ) For-ward multi-layer NN 前向多层神经网络 )multilayer feedforward artifical neural network多层前向人工神经网络... www.dictall.com|基于2个网页
Selection of Suitable Feedforward Neural Network (FFNN) Based Power System Stabilizer (PSS) For Excitation Control of Synchronous Generator... AP Memon,MA Uqaili,ZA Memon,... 被引量: 0发表: 0年 Adaptive Power System Stabilizer using Artificial Neural Network An Artificial Neural Network (ANN) ...
A novel multicriteria optimization algorithm for the structure determination of multilayer feedforward neural networks. Journal of Network and Computer Applications, 19:135-147, 1996.Kottathra, K., and Attikiouzel, Y.," A novel multicriteria optimization algorithm for the structure determination of ...
A method for designing a multiplierless multilayer feedforward neural network (MFNN) suitable for continuous input-output mapping is presented. When tested with noisy vectors, the network can retain a similar recall accuracy as the corresponding MFNN with continuous weights. The advantages of the de...
This paper continues the development of a heuristic initialization methodology for designing multi-layer feedforward neural networks aimed at modeling nonlinear functions for engineering mechanics applications as presented previously at IMAC XXIV and XXV. Seeking a transparent and domain knowledge-based approa...