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predicSrc
- This applet illustrates the prediction capabilities of the multi-layer perceptrons. It allows to define an input signal on which prediction will be performed. The user can choose the number of input units, hidden units a
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 s
predicSrc
- This applet illustrates the prediction capabilities of the multi-layer perceptrons. It allows to define an input signal on which prediction will be performed. The user can choose the number of input units, hidden units a
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 s
BPnetwork_xor
- 用vc＋＋实现的BP神经网络解决异或问题的源代码。非常经典。-Using vc realize the BP neural network to solve XOR problem
sjwl
- 神经网络理论与MATLAB7实现 书籍和源码打包在一起了. 分别介绍了几种比较重要的神经网络类型，包括感知器、线性网络和BP网络等，并介绍了这些网络的结构及学习算法，以及MATLAB的实现方法。第6章介绍了神经网络的图形用户界面-Neural network theory and realize MATLAB7 source books and packaged together., Respectively, introduce
Perceptron_network
- Basic neural network example - a set of perceptrons which analyze and interpret digit pictures (from text file) added training methods and inputs to test-Basic neural network example- a set of perceptrons which anal
MultilayePerceptronsSupervisor
- Multilayer Perceptrons and a Supervisor
neuralnetworks
- For training two-layer perceptrons using steepest descent.
CMPE537_TermProjReport
- Eye gaze detection using Gabor filters and multilayer perceptrons.
fruit_classification
- fruit classification using neural networks and multilayer perceptrons with matlab
twolayerperceptrons
- two layer perceptrons
backprop1b_src
- Backpropagation Backpropagation is a supervised learning algorithm and is mainly used by Multi-Layer-Perceptrons to change the weights connected to the net s hidden neuron layer(s). The backpropagation algori
zy1
- 多个神经元分类，又称模式联想。对如下输入、输出样本进行分类，要求画出最后的线形图。P=[0.1 0.7 0.8 0.8 1.0 0.3 0.0 -0.3 -0.5 -1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8 -1.5 -1.3] 对应的10组二元目标矢量为：T=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1]。-Use the neural network system w
MLP
- MultiLayer perceptron simulation. Neural network. It solve a problem with 2 or 3 layer perceptrons
Pairwise-Learning
- Pairwise Learning of Multilabel Classifications with Perceptrons
BP-neural-network
- 倒傳遞類神經網路,廣泛應用於人工智慧系統-Neural backpropagation is the phenomenon in which the action potential of a neuron creates a voltage spike both at the end of the axon (normal propagation) and back through to the dendritic arbor or
Perceptrons--3
- Perceptron.This package is raelated to one of the most popular neural networks(Perceptron). this package will help you to understand more and even implement more and more easily.
Perceptrons--
- a sample of perceptron model in neural network
jiou
- 通过双层感知器来分辨1至9的奇偶数，输出为10 表示结果为偶数，输出为01表示结果为奇数(Discriminate the odd and even numbers from 1 to 9 by the double-layer perceptrons. The output of 10 means that the result is even, the output is 01 means the result is odd)