优选了分析CO、H2和CH4混合气体的传感器阵列,构造了传感器信号预处理和神经网络 训练算法,从而建立了用于混合气体定量分析的人工嗅觉系统。实验结果证明,系统能够以较高的 精度分辨出3种气体的浓度。 -Optimization of the analysis of CO, H2 and CH4 mixed gas sensor array, constructs a sensor signal pre-processing and neural network training al

一种基于神经网络的人脸识别训练练函数，非常有用，研究生优秀作品 -A neural network-based face recognition training training function is very useful, graduate outstanding works

汽车牌照的定位与识别，，用bp神经网络训练并识别 -Location and recognition of vehicle license, bp neural network training and to identify

神经网络ELM的vhdl实例，该算法权值已在matlab上训练好，实际就充当一个硬件分类器-Vhdl examples ELM neural network, which is a good weight algorithm has been trained on matlab, actually acts as a hardware classifier