The topologic structure and learning algorithm of the rough neural network are given, and the approximationtheorem of the rough neural network is presented.
给出了粗糙神经网络的拓朴结构和学习算法以及粗糙神经网络的逼近定理。
2
Random sequence Random limit logarithmic likelihood ratio Random approximationtheorem Random selection Two-order Markov distribution Stochastic dominated sequence.
随机序列随机极限对数似然比随机逼近定理随机选择二重马氏分布机控制序列。
3
On the basis of the central limit theorem and approximation theory, a new implementation of the Gaussian filter by cascaded triangle filters is presented.