基于人工神经网络的技术，是当今电子工程领域中最具创新力的研究方向之一，广泛应用于模式识别、自动控制、预测分析等多个前沿科技领域。通过模仿人脑处理信息的方式，人工神经网络能够解决复杂非线性问题，为机器学习和人工智能的发展提供了强大动力。本页面汇集了1940份精选资源，包括但不限于算法实现、案例研究及最...
RTK Networks based on Geo++® GNSMART − Concepts, Implementation, Results
annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement various kinds of ne...
Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline...
A framework for supporting advance reservation service in GMPLS-based WDM networks.
This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables u...
《M-files for "Neural Networks"》神经网络的一些MATLAB源程序，M-files for demos, exercises, and implementations. 作者：Herve Abdi
there are some newly released Neural Network Example Programs for Character Recognition, which based on Image Processing...
BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP...
·期刊论文：Fuzzy neural networks in nonlinear system identification
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