Description: BP神经网络FORTRAN源代码。
BP算法由两部分组成：信息的正向传递与误差的反向传播。在正向传播过程中，输入信息从输入经隐含层逐层计算传向输出层，每一层神经元的状态只影响下一层神经元的状态。如果在输出层没有得到期望的输出，则计算输出层的误差变化值，然后转向反向传播，通过网络将误差信号沿原来的连接通路反传过来修改各层神经元的权值直至达到期望目标。
-BP neural network FORTRAN source code. BP algorithm consists of two parts: information transmission and forward error back-propagation. In the forward propagation, the input information from the input layer by layer through the hidden layer the calculation transmitted to the output layer, each layer of neurons under the influence of the state is only a layer of neurons in the state. If the output layer has not been the expected output, then the calculation of changes in the value of the output layer error, and then turned back propagation through the network connection error signal along the original path-propagation over the right to modify the value of each layer of neurons until they reach the desired target . Platform: |
Size: 2048 |
Author:范磊 |
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Description: This assignment is intended to provide basic experience in writing neural network applications and conducting
classification experiments with mlps. After having completed this assignment you should know how to implement a
back propagation multi-layer neural network which can be used for a variety of classification tasks.
-This assignment is intended to provide basic experience in writing neural network applications and conducting
classification experiments with mlps. After having completed this assignment you should know how to implement a
back propagation multi-layer neural network which can be used for a variety of classification tasks.
Platform: |
Size: 78848 |
Author:kelvenyiu |
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Description: 实验中使用随机反向传播算法对构造的神经网络进行学习，最终得到构造的神经网络的权值矩阵。-Experiment using the random back-propagation algorithm to construct the neural network learning, the final structure of the neural network obtained the weight matrix. Platform: |
Size: 2048 |
Author:王瑶 |
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Description: MATLAB的神经网络工具箱实用指南.
第一章是神经网络的基本介绍，第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数，例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。-MATLAB neural network toolbox of practical guidance. The first chapter is a basic introduction to neural networks, and the second chapter, including the toolbox designated by the network structure and symbols related to the basic material and the establishment of neural network, some basic functions, such as new, init, adapt and train. Chapter III to back-propagation network as an example to explain the back-propagation network, the basic principle and application process. Platform: |
Size: 95232 |
Author:yk |
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Description: This is My extensive work on Neural networks and includes my MATLAB simulated programs applied for neumerous examples for XOR problems,Hebb s Rule,Back Propagation Algorithms in doc.Whoever Interested can stright away use them and get it executed in MATLAB.-This is My extensive work on Neural networks and includes my MATLAB simulated programs applied for neumerous examples for XOR problems,Hebb s Rule,Back Propagation Algorithms in doc.Whoever Interested can stright away use them and get it executed in MATLAB. Platform: |
Size: 75776 |
Author:prad |
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Description: bp算法（误差反传算法） 解决分类问题
通过一层输入，一层输出 和一个隐层-bp algorithm (error back propagation algorithm) to solve the classification problem by a layer of input, output, and a hidden layer Platform: |
Size: 3072 |
Author:peter |
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Description: A very simple example of Neural Networks using back propagation This program is a simple example of Neural Networks using back propagation. My code has all basic functionalities like learning rate, load net, save net, etc. You can have as many layers as you can. The code here is extensible ie you can use my code in your programs to implement neural networks. Here a sample problem and network is given. Load the network with name "XOR.nn". It solves XOR problem. Please don t forget to give comments, credits and most important your VOTE!. And note if Neural Networks and back propagation is a mystery for you I can write a tutorial on nn and back propagation. Just tell me, if you want it, via feedback. And also, if you create another application using my neural networks please inform me. MadeBy: Paras Chopra CEO, NaramCheez paraschopra@lycos.com - A very simple example of Neural Networks using back propagation This program is a simple example of Neural Networks using back propagation. My code has all basic functionalities like learning rate, load net, save net, etc. You can have as many layers as you can. The code here is extensible ie you can use my code in your programs to implement neural networks. Here a sample problem and network is given. Load the network with name "XOR.nn". It solves XOR problem. Please don t forget to give comments, credits and most important your VOTE!. And note if Neural Networks and back propagation is a mystery for you I can write a tutorial on nn and back propagation. Just tell me, if you want it, via feedback. And also, if you create another application using my neural networks please inform me. MadeBy: Paras Chopra CEO, NaramCheez paraschopra@lycos.com Platform: |
Size: 6144 |
Author:ani |
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Description: 基于人工神经网络误差反向传播BP的水质预测模型-Based on back propagation artificial neural network prediction model of water quality BP Platform: |
Size: 1024 |
Author:郑姣 |
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Description: 反向传播神经网络算法，可以用于将大量数据训练后的模拟输出-Back-propagation neural network algorithm, the data can be used for training a large number of analog outputs Platform: |
Size: 1024 |
Author:海飞 |
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Description: 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 used to estimate the motor speed. The
other is the neural controller, which is used to generate a
control signal for a converter. These two networks are
trained by Levenberg-Marquardt back propagation
algorithm. Standard three layer feed forward neural
network with sigmoid activation functions in the input and
hidden layers and purelin in the output layer is used.
Simulation results are presented to demonstrate the
effectiveness and advantage of the control system of DC
motor with ANNs in comparison with the conventional
control scheme. Platform: |
Size: 490496 |
Author:amidi |
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Description: 利用bp神经网络——一个隐层被用来创建一个自适应字符识别系统- A back-propagation neural network with one hidden layer was used to create an adaptive character recognition system. Platform: |
Size: 8192 |
Author:李丽 |
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