The impact of stochastic factor and delay on stability of the neural network is significant to investigate the stability of stochastic neural network with delay.
考虑到随机因素及时滞对神经网络系统的稳定性的影响，这使得研究随机时滞神经网络的稳定性具有深远意义。
The learning process of a neural network is considered the process in which neural network variables are changed with a time series of input signals generated from a stochastic information source.
根据该理论，学习过程就是由随机信息源产生的输入信号驱动神经网络参数不断修改的过程；
Through measuring the electric current signal, the soft sensing model used for tool wear estimation based on stochastic fuzzy neural network(SFNN) is presented in this paper.
本文通过检测电流信号基于随机模糊神经网络建立了刀具磨损量的软测量模型。
A fast stochastic global optimization algorithm, particle group optimization algorithm, was used for training the fuzzy neural network.
模糊神经网络的学习算法采用的是快速的粒子群优化算法。
Artificial neural network series models break a new approach for stochastic modeling in computing design flood.
人工神经网络时序模型开辟了随机模拟法在设计洪水计算中应用研究的新途径。
Artificial neural network series models break a new approach for stochastic modeling in computing design flood.
人工神经网络时序模型开辟了随机模拟法在设计洪水计算中应用研究的新途径。
应用推荐