基于改进的双并联动态过程神经网络的旅游需求预测

为克服前向过程神经网络收敛速度慢、精度低的问题，提出了一种改进的双并联动态过程神经网络，对于给定的全连接的过程神经网络，通过优化其连接权值和网络结构，删除冗余连接使之成为部分连接的过程神经网络系统，并给出了基于正交基函数展开的学习算法，从而降低了计算的成本。改进的双并联动态过程神经网络应用于旅游预测问题，结果表明其预测精度能够满足工程需要。

Tourism demand forecast based on the improved double parallel dynamic process neural network

To solve the problems of slow convergence speed and low accuracy of the feedforward process neural networks,this paper presents an improved double parallel dynamic process neural network.A given fully connected process neural network may become a process neural network system with partial connection by optimizing connection weight matrix and network structure and deleting redundancy connection.The learning algorithm based on orthogonal basis function is also given,which reduces the calculating cost.The prop...