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关于Neural Network Perceptron
模拟神经网络感知
This program makes the simulation of a neural network Perceptron.
The Perceptron is a type of artificial neural network developed in 1957 at the Cornell Aeronautical Laboratory by Frank Rosenblatt. It can be seen as the simplest type of neural feedforward network: a linear classifier.
This program simulates the logic gates OR, AND, NAND, NOR, and XOR.
Notice in the simulation that the XOR problem is not solved.
最新版本1.0.0的更新日志
Last updated on 2015年09月06日
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Neural Network Perceptron历史版本
Neural Network Perceptron 1.0.0
2015年09月06日7.5 MB