開(kāi)發(fā)環(huán)境:C++
簡(jiǎn)要說(shuō)明:這程序是《神經(jīng)網(wǎng)絡(luò)模式識(shí)別及其實(shí)現(xiàn)》（Pattern Recognition with Neural Networks in C++)美Abhijit S. Pandya等著電子工業(yè)出版社1999年6月，書(shū)號(hào)ISBN 7-5053-5088-9的第九章<神經(jīng)聯(lián)想記憶和Hopfield網(wǎng)絡(luò)>附的程序。
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 perceptrons.
