人工神经网络(Artificial Neural Networks-ANN)是一种应用于类似大脑神经突触联接的结构进行信息处理的数学模型，神经元网络可以对信息进行并式处理，具有很强的容错能力以及良...
基于1个网页-相关网页
artificial neural networks ann 人工神经网络方法
Since these variables are characterized as nonlinearities time series data, Artificial Neural networks (ANN) will be employed using back propagation algorithm as learning algorithm.
由于这些变量具有非线性时间序列数据，用人工神经网络(ANN)将使用反向传播算法作为学习算法。
Hidden layers of Artificial Neural Networks (ANN) have large effects on the speed, precision and convergence for training the ANN.
隐含层对人工神经元网络(ANN)训练的速度、精度和收敛性有很大的影响。
Aimed at the low self-learning ability drawbacks of traditional expert system, artificial neural networks(ANN) were applied in crop nutrition diagnosis system.
针对传统专家系统自学习能力差的缺点，设计了基于神经网络的作物营养诊断专家系统。
应用推荐