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人工智能/神经网络 本程序实做MLP(Multi-layer perceptron)算法
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。 ...
人工智能/神经网络 Neural Network Perceptron use MFC
Neural Network Perceptron use MFC
matlab例程 Perceptron matlab code
Perceptron matlab code
matlab例程 包含用lms、mse、perceptron准则函数的二类分类器
包含用lms、mse、perceptron准则函数的二类分类器
人工智能/神经网络 感知器(Perceptron) 单层感知器神经元模型图,我们可以看出感知器的基本功能是将输入矢量转化成0或1的输出。这一功能可以通过在输入矢量空间里的作图来加以解释。
感知器(Perceptron)
单层感知器神经元模型图,我们可以看出感知器的基本功能是将输入矢量转化成0或1的输出。这一功能可以通过在输入矢量空间里的作图来加以解释。
人工智能/神经网络 A simple One layer perceptron classifier written in CSharp and using the AForge framework
A simple One layer perceptron classifier written in CSharp and using the AForge framework
人工智能/神经网络 自适应(Adaptive)神经网络源程序 The adaptive Neural Network Library is a collection of blocks that implement s
自适应(Adaptive)神经网络源程序
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring
different adaptation algorithms.~..~
There are 11 blocks that implement basically these 5 kinds of neural networks:
1) Adaptive Linear Network (ADA ...
人工智能/神经网络 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring
different adaptation algorithms.~..~
There are 11 blocks that implement basically these 5 kinds of neural networks:
1) Adaptive Linear Network (ADALINE)
2) Multilayer Layer Perce ...
人工智能/神经网络 annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement
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.
人工智能/神经网络 Single-layer neural networks can be trained using various learning algorithms. The best-known algori
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 while the third can be generalized to multi-layer pe ...