分段式过程神经元网络  

Segment Procedure Neural Network

作　　者：梁久祯[1] 

机构地区：[1]浙江师范大学信息科学与工程学院,金华321004

出　　处：《模式识别与人工智能》2006年第3期295-299,共5页Pattern Recognition and Artificial Intelligence

基　　金：浙江省自然科学基金项目(No.Y104107);浙江省教育厅重点项目(No.20040793)

摘　　要：研究分段式过程神经网络模型及其学习算法.在过程神经元网络基础上提出分段式过程神经网络模型,并给出在已知和未知各阶段期望输出两种情况下的学习算法,目的是模拟分段目标规划和评判系统.最后给出大学生综合评价系统的应用实例.模拟仿真结果说明模型和算法是有效的.Segment procedure neural network model and its learning algorithm are studied in this paper. A novel procedure neural network is proposed based on procedure neural networks . The algorithm is also proposed in the cases of knowing and unknowing the subsection desire outputs, which aims at simulating the procedure of subsection object programming and estimation system. Finally, an application example of undergraduate integration estimation system is presented and simulation results illustrate the efficiency of the model and the algorithm.

关 键 词：过程神经元 神经网络 映射能力 学习算法 分段式过程神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]