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遗传算法优化神经网络：使用遗传算法对BP网络权值阈值进行优化，再用BP算法训练网络-Genetic algorithm neural networks: Using genetic algorithm of BP network weights to optimize the threshold value, then BP algorithm training network
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通过GA算法对bp神经网络的阈值阀值进行优化(The threshold value of BP neural network is optimized by GA algorithm)
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基于发现蚁群算法优化神经网络是利用蚁群算法在解空间寻找出一组最优的权值和阈值，然后将这一组解带回到神经网络进行细致优化，从而得到最好的权值和阈值。(Found that the ant colony algorithm to optimize the neural network based on Ant Colony Algorithm in the solution space to find a set of optimal weights and threshold based on,
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遗传算法对BP神经网络权阈值进行优化，运行可用(Genetic algorithm is used to optimize the weight threshold of BP neural network.)
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神经网络中网络结构哦、初始连接权值和阈值的选择对网络训练的影响很大，用遗传算法的神经网络进行优化。(The choice of network structure, initial connection weight and threshold in neural network has a great influence on network training, and is optimized by the neural network of genetic algorithm.)
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锂离子电池参数辨识，把各个参数作为bp神经网络的权重阀值进行学习(Parameter identification of lithium-ion batteries and learning of each parameter as the weight threshold of BP neural network)
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采用matlab语言实现了遗传算法对elman神经网络的优化，固定了权阈值参数，大家可以试试(The optimization of Elman neural network by genetic algorithm is realized with MATLAB language, and the weight threshold parameters are fixed. You can try it)
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