搜索资源列表
BP
- BP三层反传神经网络源程序，适合想了解人工神经原理的开发者 -BP layer back propagation neural network source code, for to understand the principle developer of artificial neural
proj06-02
- 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.
Matlabshenjingwangluo
- 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,
NNcodes
- 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
BP
- 误差反向传播（Error Back Propagation, BP）算法 -Back Propagation (Error Back Propagation, BP) algorithm
bp
- 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
sourcecode3
- Code to implement Back propagation network algorithm
Neural_Net1922868102005
- This code is for back propagation neural network in C++.
A_very_sim977756232002-457852ngfppr2567
- 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 layer
AIR_BPNN
- Back Propagation Neural Network.
bp
- 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
backprop_algo
- Back propagation Algorithm.3 layer feed forward network
shen-jing-wang-luo
- 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
ijrte0206121124
- 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
gg
- 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.
programme_I
- a back propagation neural network matlab code, learning by levenberg–marquardt algorithm
programme_II
- a back propagation neural network matlab code, learning by levenberg–marquardt algorithm
programme_III
- a back propagation neural network matlab code, learning by levenberg–marquardt algorithm
APPRENT1
- a back propagation neural network matlab code, learning by levenberg–marquardt algorithm
C_bp
- BP（Back Propagation）网络是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。-