一个简单的HOPFIELD神经网络C语言源代码，其中RELESDE为可执行文件...

c语言实现人工智能art1网络的算法实现 -c language art1 network artificial intelligence algorithms

OPENCV系列的，关于CORE，应该挺有用的，大家自己看看吧！-OPENCV series of CORE, should be quite useless, we all see!

交流 模糊控制 交流 模糊控制-Exchange of the exchange of fuzzy control fuzzy control

另一个遗传算法程序-Another genetic algorithm program

多目标跟踪 (三维)-算法matlab编制-multi-target tracking (3D)- preparation algorithm Matlab

非常好的模式识别教材，适用于研究生教学，或者初学者-Very good teaching pattern recognition, applied to post-graduate teaching, or beginners

神经网络算法 神经网络算法 -BP networksBP networksBP networksBP networksBP networks

利用遗传算法优化BP神经网络 即用遗传算法代替BP网络中的训练函数-The use of genetic algorithm to optimize BP neural network using genetic algorithms in place of BP network training function

遗传算法和神经网络结合，利用两种算法的优点，有很好的参考价值-Genetic algorithms and neural networks combine the advantages of using two algorithms, a very good reference value

　人工神经网络(Aartificial Neural Network，下简称ANN)是模拟生物神经元的结构而提出的一种信息处理方法。早在1943年，已由心理学家Warren S.Mcculloch和数学家Walth H.Pitts提出神经元数学模型，后被冷落了一段时间，80年代又迅猛兴起［1］。ANN之所以受到人们的普遍关注，是由于它具有本质的非线形特征、并行处理能力、强鲁棒性以及自组织自学习的能力。其中研究得最为成熟的是误差的反传模型算法(BP算法，Back Propagation)，它的网络结构及算法直观、简单，在工业领域中应用较多。-Artificial Neural Networks (Aartificial Neural Network, under the short title of ANN) is a simulation of the structure of biological neurons and the information put forward a method of treatment. At early 1943, by Warren S. Mcculloch psychologists and mathematicians Walth H. Pitts proposed mathematical model of neurons, was left out in the cold for some time, and the rapid rise of the 80" s [1]. ANN because the general concern of the people is the essence of it is because of the non-linear characteristics of parallel processing capabilities, strong robustness and self-organizing capacity of self-learning. Research one of the most sophisticated are the error-propagation model of the algorithm (BP algorithm, Back Pro