搜索资源列表
c++neuralnetworkdevelopmentpakage
- annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement various kinds of neural networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.-ANN, ie, Artificial Neural Netwo
apbSrc.tar
- Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks wh
n1
- 感知器神经网络设计举例：将四个输入矢量分为两类，其中两个矢量对应的目标值为1，另两个矢量对应的目标值为0,用学习函数求解. -perceptron neural network design, for example : four input vector divided into two categories. two vector corresponding to a target, and the other two vector corresponding to the target
pointsclassify
- 用于模式识别分类，有C均值算法、HK算法以及感知器算法-for the classification, C-means algorithm, HK algorithm and Perceptron Algorithm
perceptron_test
- 神经网络中的感知机的学习算法的c语言程序源代码-neural network of Perceptron learning algorithm in C language source code
PerceptionCLassify
- 感知机分类算法用于文献分类,基于BP神经网络的基本算法-Perceptron classification algorithm for Literature Classification, based on BP neural network algorithm
TP_MLP
- 一个用MATLAB实现的多层感知器-a MATLAB the multilayer perceptron.
ganzhi
- 感知器算法的matlab实现，欢迎大家指点-Perceptron Algorithm Implementation of Matlab, we welcome guidance
percep
- 感知器网络的几个例子 都试过的，不错 包括分类 学习 等-perceptron network had tried several examples, including a breakdown good learning
ANN-adaptive-whu
- 人工神经网络感知器源码，方便了初学者试验模拟，让初学者初步认识神经网络的应用价值-ANN perceptron source and make it easier for the beginners test simulation Let beginners preliminary understanding of the neural network application
1060339061_hw1
- 多个感知器分类,属于人工智能的神经网络的 -number perceptron classified into artificial intelligence neural network
percept2
- 该示例用双层感知器实现XOR问题,第一层为随机感知层-examples of the use of double-Perceptron achieve XOR, the first layer of random layer perceptron
MaximumSpeed
- Fixed a problem caused by VC6 Professional Edition optimizations. Basically, the program wouldn t work when \"Maximum Speed\" or \"Minimum Size\" options were enabled. The program uses #pragra statements to disable optimizations for the perc
Perceptron_example2
- 采用单一感知器神经元解决一个简单的分类问题，将四个输入矢量分为两类，其中 ％ 两个矢量对应的目标值为1，另两个矢量对应的目标值为0-single perceptron neural yuan to solve a simple classification, four input vectors are divided into two categories. 2% which the vector corresponding to a target value, and the other
Perceptron_example6
- 分析单层感知器无法解决线性不可分输入矢量的分类问题-analysis of single-layer perceptron unable to solve the non-linear input vector classification
Artificail.NN
- 人工神经网络（感知器模型和BP算法） 模式识别课程实验-artificial neural network (perceptron model and BP algorithm) Experimental Pattern Recognition
a1
- matlab 感知器源程序 -Matlab source Matlab Perceptron Perceptron Perceptron source Matlab source Matlab perceptron source
hybridSIREKF
- To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 2
MLP
- 本程序实做MLP(Multi-layer perceptron)算法，使用者可以自行设定训练数据集与测试数据集，将训练数据集加载，在2、3维下可以显示其分布状态，并分别设定键节值、学习率、迭代次数来训练其类神经网络，最后可观看辨识率与RMSE（Root Mean squared error）来判别训练是否可以停止。
perceptron
- 自己编的VC＋＋程序，是关于神经网络的多层感知器的