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本程序为一个误差向后传播的三层前馈神经网络有指导的学习算法,用户可在文件中设置相应参数.-this program back to an error in transmission feed-forward neural network algorithm for the study guide, users can set up in the document corresponding parameters.
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前馈神经网络算法-feed forward neural network algorithm
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三层前馈神经网络的BP算法。程序具有以下功能：
（1） 允许选择各层节点数；
（2） 允许选用不同的学习率η；
（3） 能对权值进行初始化，初始化用[-1、1]区间的随机数；
（4）允许选用单极性和双极性两种不同Sigmoid型转移函数。
-Three-tier feed-forward neural network BP algorithm. Procedures have the following functions: (1) allows to choose the
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一个测试 后馈神经网络的程序, 解决XOR 问题-After a test procedure for feed-forward neural network to solve XOR problem
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一篇硕士学位论文，数值优化技术编码的 PSO混合算法及 其在前馈神经网络训练中的应用研究。-A master' s degree thesis, numerical optimization techniques encoded hybrid PSO algorithm and the former feed-forward neural network training in applied research.
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A nice text book for Neural Network. It clearly describe about the feed forward neural network. hope it ll help the students a lot to understand neural network
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利用粒子群PSO算法，设计一个使得前向神经网络的训练得到最优问题。-The use of particle swarm PSO algorithm, designed to allow a feed-forward neural network training problems to be optimal.
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Abstract-This paper introduces the new concept of Artificial
Neural Networks (ANNs) in estimating speed and
controlling the separately excited DC motor. The neural
control scheme consists of two parts. One is the neural
estimator, which is us
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人工神经网络中的前馈神经网络，反向传播算法，-Artificial neural network feed-forward neural network, back propagation algorithm,
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基于前馈神经网络（BP）的强分类器设计，利用前馈神经网络实现公司财务预警建模。-Based on the feed-forward neural network (BP) strong classifier design, using a feedforward neural network to achieve the company' s financial early warning modeling.
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基于遗传算法的前馈神经网络优化 很好的程序 主要是对参数优化-Feed-forward neural network optimization a very good program for parameter optimization based on genetic algorithm ago
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用一种新颖的前馈神经网络——极限学习机，实现非线性系统的内模控制-Using a novel feed-forward neural network- extreme learning machine, implement internal model control of nonlinear systems
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极限学习机[1](Extreme Learning Machine,
ELM)是在单隐层神经网络(Single hidden Layer Feed-forward Neural networks, SLFNs)基础上提出的一种高效的学习方法。不同于传统的神经网络，
ELM 中所有的隐层参数均为随机产生，而不需要烦琐的迭代过程；其输出权值则通过求解矩阵的广义逆得到。因此，相较于传统的SLFNs，在保证学习性能的基础上，ELM 的训练速度得以显著提升。-Extreme Learning Ma
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feed forward neural network trained using several methods,then efficiency of each method represented at the end
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针对各种机器学习，深度学习领域的一个matlab工具包-A machine learning library focused on deep learning.Following algorithms and models are provided along with some static utility classes:
- Naive Bayes, Linear Regression, Logistic Regression, Softmax Regression, Linear S
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implementation of feed forward neural network for classification. using dataset UCI machine learning pima-diabetes-implementation of feed forward neural network for classification. using dataset UCI machine learning pima-diabetes
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一个前馈反向传播人工神经网络的实现，并应用CUDA加速-Implementation of a feed-forward backpropagation artificial neural network using CUDA
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a feed forward neural network in Maple
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前馈神经网络和例子，包含xor示例等以及一些python代码(Feed forward neural network and some example including xor or something like that, programmed in python)
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Elman神经网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的，是一种典型的局部回归网络( global feed forward local recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的递归神经网络。(The Elman neural network, which was first proposed by j. l. Elman in 1990 for voice processing, is a typical global f
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