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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
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一些有关pid的优化算法，如模糊PID，神经网络PID，这些文献中的实例很值得大家学习-Some of the pid of the optimization algorithm, such as fuzzy PID, neural network PID, these examples of literature are worth studying U.S.
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Matlab粒子群算法优化RBF网络采用了粒子群算法对RBF神经网络中的参数进行了优化，，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强
-Matlab particle swarm algorithm to optimize the RBF network using particle swarm optimization of parameters in RBF neural network optimized, verified in a t
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Is a two hidden layer back propagation neural network, Optimization class contains several simple sample programs, PLS PLS toolbox.
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PLolbox, The entire training process BP neural network, Genetic algorithm based reactive power S PLS toolbox, The entire training process BP neural network, Genetic algorithm based reactive power optimization.
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Minimum mean square error MSE calculation algorithm, Genetic algorithm based reactive power optimization, The entire training process BP neural network.
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Optimization class contains several simple sample programs, On neural network control, Noisy pulse correlation detection signal.
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