搜索资源列表
myworkonnnet
- 多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial
perceptron
- 自己编的VC++程序,是关于神经网络的多层感知器的
bp_xor
- 神经网络中的多层感知器的BP(反向传播)学习算法,并在MFC中以主观方式显示学习过程。
多层感知器神经网络,BP神经网络
- 多层感知器神经网络,BP神经网络的Visual C++ 2008源代码程序,一个外国人写的,很好用。需要一定的编程基础才能看懂.-MLP neural network, BP neural network Visual C++ 2008 source code program, a foreigner, is useful. Need to understand some basics of programming.
perceptron.rar
- 人工神经网络,多层感知器,C++源代码,可在文本中读写数据。,Artificial neural network, multilayer perceptron, C++ source code, can read and write data in the text.
src_Backprop_ANN_XOR
- 人工神经网络ANN多层感知器BP神经网络算法的C#源代码,一个外国人编写,供大家研究学习使用。-ANN artificial neural network MLP BP neural network algorithm C# source code, a foreigner writing for everyone to learn.
bp_algorithm_matlab
- 基于MATLAB的多层感知器神经网络BP算法的源程序-MATLAB-based multilayer perceptron neural network algorithm source code
BP
- 利用BP算法,设计一个多层感知器为表中的数据集提供一个非线性逼近,并测试其泛化能力-The use of BP algorithm, the design of a multi-layer perceptron for the table of data sets to provide a non-linear approximation, and testing their generalization ability
masotti_MLP_Classificazione
- 多层感知器的分类程序! -Multi-layer perceptron classification procedures!
ANNstabliaser
- 人工神经网络多层感知器9输入四维算法源程序-MLP artificial neural network input four-dimensional algorithm source code 9
BP
- 模拟BP神经网络,基于BP网络的多层感知器的模拟-BP neural network simulation
psonn
- 粒子群算法优化神经网络,神经网络为传统的多层感知器。-pso optimizes neural networks. the neural networks are multilayer percetrons.
sy44
- 用matlab编程实现多层感知器带动量项的批处理BP算法 -Programming using matlab MLP driven batch BP algorithm the amount of items
chengxu
- 用matlab实现神经网络多层感知器单样本训练BP算法。-Neural network using matlab to achieve a single sample training MLP BP algorithm.
Pattern-recognition-experiment1
- 基于多层感知器的DNA序列分类器的设计,里面有说明文档和源程序-Based on the DNA sequence of MLP classifier design, which has documentation and source code
BP_final
- 多层感知器MLP网络以及BP算法,实现了对非线性函数的逼近,matlab进行编程-failed to translate
The-adaptive-Neural-Network-
- 基本上实现这些类型的神经网络: 自适应线性网络(ADALINE) 多层多层感知器网络 广义径向基函数网络 动态细胞结构(DCS)网络与高斯或圆锥形的基础功能-There are blocks that implement basically these kinds of neural networks: Adaptive Linear Networks (ADALINE) Multilayer Layer Perceptron Networks Generalized
elligent-control
- 使用matlab不依靠库函数编写的BP网络,多层感知器,以及利用BP网络做的函数逼近。-Use matlab not rely on library functions of BP network to write, multi-layer perceptron, and the use of BP network do function approximation.
shiyan4
- 解决非线性多类别分类问题,利用实际数据进行分类处理。(Solving nonlinear multi class classification problem, using actual data for classification processing.)
p_or
- 这个例子是感知器人工神经网络的异或门实现,这是多层感知器神经网络的一个典型例子。(This example is the XOR gate implementation of perceptron artificial neural network, that is a classic example of a multilayer perceptron neural network.)