Moraga, "Multilayer feedforward neural network based on multi-valued neurons (MLMVN) and a backpropagation learn- ing algorithm," Soft Comput., vol. 11, no. 2, pp. 169-183, Sep. 2006.Aizenberg, I. and Moraga, C. (2007) Multilayer Feed Forward Neural Network Based on Multi-Valued ...
Feedforward complex-valued neural networkA multilayer neural network based on multi-valued neurons (MLMVN) is considered in the paper. A multi-valued neuron (MVN) is based on the principles of multiple-valued threshold logic over the field of the complex numbers. The most important properties ...
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.dictall.com|基于1 个网页 例句 释义: 全部,多层反馈神经网络,多层前向网络 更多例句筛选 1. An Analysis and Improvement of the Shortcomings of ...
(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...
multilayer feedforward neural networksThis 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 ...
Multilayer Feedforward Neural Network Based on Multi-Valued Neurons (MLMVN) In this Chapter, we consider one of the most interesting applications of MVN - its use as a basic neuron in a multilayer neural network based on multi-valued neurons (MLMVN). In Section 4.1, we consider basic ideas...
Multilayer feed-forward neural network approach to lymphoma cancer data 来自 Semantic Scholar 喜欢 0 阅读量: 28 作者:MH Ahmad,N Mohamed,NA Aleng,WMA W. Ahmad 摘要: Lymphoma is a cancer in the lymphatic cells of the immune system, called lymphocytes. One of the most important organ systems ...
2.1 Multilayer feedforward neural networks Artificial neural network was introduced by McCulloch and Pitts [16] act like a “black box” model derived from a simplified concept of the human brain. It has been widely accepted as an approach for prediction, control systems, classification, optimizati...
Feedforward neural networks ordeep feedforward networks ormultilayer perceptrons Pass input through a series of intermediate computations (hidden layers) to capture non-linear relationships (a.k.a. deep learning) 通过一系列中间计算(隐藏层)传递输入以捕获非线性关系 ...
前馈神经网络(feedforward neural network)是一个人工的神经网络,它是单元之间的连接,不会形成有向圈。跟周期性的神 … baike.baidu.com|基于8个网页 2. 前馈神经网路 於前馈神经网路(feedforward neural network),每个神经元i的输出为:於此活化函数(activation function)经常为logistic S型(sigm… ...