基于模糊神经网络方法的新构造控水专家系统  

An Expert System for Prediction Fissure Rock Water in Neotectonic Movement Area Based on Fuzzy Neural Network

作　　者：霍润科[1] 刘汉东[2] 李宁[1] 吕恩伏 

机构地区：[1]西安理工大学岩土所 [2]华北水利水电学院岩工系,河南郑州450045

出　　处：《系统工程理论与实践》2003年第11期135-139,共5页Systems Engineering-Theory & Practice

基　　金：水利水电科学基金 (91 0 865 0 4) ;河南省创新人才基金

摘　　要：在对大量野外地质资料统计和综合分析基础上 ,依据地质专家在新构造领域的理论知识和成功经验 ,运用模糊数学理论和神经网络理论相结合的方法 ,提出一种用线性单元并联实现非线性划分的神经元网络模型 ,并研制出相应具有较强推理能力和学习功能、广泛用于非定性系统数据处理的专家系统 ,该系统经实例验证具有较强的适用性 .This paper described an expert system for prediction fissure water in neotectionic movement area based on expertise. A fuzzy neural network method is used in this system and program having inference and learning ability and data processing is developed with C. this prediction system has been demonstrated by a typical example and has provided as decision support system to engineers with information about fissure water.

关 键 词：新构造 模糊神经网络 专家系统 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] P641.135[自动化与计算机技术—控制科学与工程]