... 多层人工神经网络 分布式学习算法 生物信息学 蛋白质结构预测[gap=1335]Key words: multi-layer artificial neural network; distributed learning algorithm; bioinformatics; prediction of protein structur..
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多层前馈人工神经网络 MLFFANN
多层前向人工神经网络 multilayer feedforward artifical neural network
多层感知人工神经网络 Multi-Layer Perceptron
为确定多层人工神经网络的权值和阈值建立了混合求解方法，即迭代前期采用BP算法而迭代后期采用梯度优化法进行计算。
Mixed method is built to calculate the weights and thresholds of multi-layer neural network by utilize BP algorithm and terraced optimizations.
为确定多层人工神经网络的权值和阈值建立了混合求解方法，即迭代前期采用BP算法，而迭代后期采用梯度优化法进行计算。
Mixed method was built to calculate the weights and thresholds of multi-layer neural network by utilize BP algorithm and terraced optimizations.
由于评价人工神经网络最终学习效果是通过累积误差来进行的，从而我们直接瞄准累积误差来研究多层人工神经网络快速学习的算法。
Since we value the learning effect of neural networks by cumulative error, the paper pay direct attention to it to study the BP algorithm.
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