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分层神经模糊系统优化设计的研究
  • 项目名称：分层神经模糊系统优化设计的研究
  • 项目类别：面上项目
  • 批准号：60573065
  • 申请代码：F020509
  • 项目来源：国家自然科学基金
  • 研究期限：2006-01-01-2008-12-31
  • 项目负责人：陈月辉
  • 负责人职称：教授
  • 依托单位：济南大学
  • 批准年度：2005
中文摘要：

现代化工、炼油、钢铁等工业生产过程是一类复杂系统，难以建立精确的数学模型。虽然智能计算的一些方法，如神经网络、进化计算和模糊系统已部分应用于这类复杂系统，但由于单个智能计算模型很难反映这类复杂系统的全貌，所以应用效果有限。把智能计算模型的不同组成部分有机的结合起来，以弥补单个智能计算模型的不足或提高复杂问题的求解效率，是智能计算集成研究的重要课题。本课题以神经网络、进化计算和模糊系统为基础，以轧钢生产过程为背景，以现有的分层方法和技术为出发点，以构造用于解决复杂系统问题的分层神经网络、分层模糊系统和分层神经模糊混合模型为研究目标。在分析现有分层技术的理论基础、分层方法、自适应性和效率的基础上，进一步研究分层神经网络、分层模糊系统和分层神经模糊混合模型的进化优化方法和设计技术。课题研究成果可广泛应用于复杂非线性系统建模、机器学习、智能控制、生物信息学等诸多领域。

中文主题词： 神经网络;演化计算;模糊系统;分层结构;轧钢
成果综合统计
成果类型
数量
  • 期刊论文
  • 会议论文
  • 专利
  • 获奖
  • 著作
  • 63
  • 36
  • 0
  • 0
  • 2
期刊论文
基于异构模式的云计算关键技术研究
Time-series forecasting using flexible neural tree model
Hybrid Flexible Neural Tree Based Intrusion Detection Systems
Feature Selection and Classification using Flexible Neural Tree
Hybrid-Learning Methods for Stock Index Modeling
Foreign Exchange Rate Forecasting using Higher Order Flexible Neural Tree
Higher Order Neural Networks for Stock Index Modeling
基于RBF神经网络的热连轧精轧厚度的预报
基于GA优化的CMAC-PID板形复合控制
CMAC(PID复合控制及其在液压弯辊系统中的应用
变结构模糊神经网络在AGC系统中的应用
基于多神经网络的热连轧轧制力预计算
AGC控制技术的发展过程及趋势
基于基因调控的改进遗传算法
Stock Index Modeling using Hierarchical RBF Networks
Hierarchical Radial Basis Function Neural Networks for Classification Problems
Gene Expression Profiling Using Flexible Neural Trees
人工智能技术在轧制领域应用及发展趋势
Exchange Rate Forecasting using Flexible Neural Trees
Estimation of Distribution Algorithm for Optimization of Neural networks for Intrusion Detection Sys
Automatic Design of Hierarchical RBF Networks for System Identification
Hybrid Traffic Classifier for Peer-to-Peer Systems Based on Network Processors
Evolving Hierarchical RBF Neural Networks for Breast Cancer Detection
A DGC-based Data Classification Method used for Abnormal Network Intrusion Detection
Ensemble Voting System for Multi-class Protein Fold Recognition
Improving Neural Network Classification using Further Division of Recognition Space
Automatic Design of Hierarchical Takagi–Sugeno Type Fuzzy Systems Using Evolutionary Algorithms
Flexible Neural Trees Ensemble for Stock Index Modeling
Time-Series Prediction using a Local Linear Wavelet Neural Network
A novel ensemble of classifiers for microarray data? classification
Ensemble of Flexible Neural Trees for Breast Cancer Detection
Intelligent Control and Robotics
A Novel Classification Method Based on Data Gravitation
Small-time Scale Network Traffic Prediction Based on Local Support Vector Machine Regression Model
Comparison Study of Evolutionary Flexible Neural Networks for Intrusion Detection System
Protein Fold Recognition based on Error Correcting Output Codes and SVM
Face Recognition Using DCT and Hierarchical RBF Model
Breast Cancer Detection using Hierarchical B-spline Networks
面向复杂系统的智能协同建模方法研究
利用粒子群算法实现水泥μCT图像灰度校准
规则引擎在机场资源管理系统中的研究与应用
高校电子资源综合利用系统的研究
基于多类支持向量机的板形识别方法
基于关联规则的文本聚类算法的研究
多值属性的数据处理与关联规则挖掘方法研究
基于改进伪氨基酸组成的蛋白质相互作用预测
动态系统的演化建模
基于非线性预测效果的癫痫脑电信号的特征提取方法
Zn1-xMnxO纳米薄膜磁有序性的Monte Carlo模拟
均衡数据法提高蛋白质二级结构预测
智能识别方法在板形识别中的应用及发展趋势
一种基于地形信息熵的人脸检测方法
Process parameters selection of fluid industry based on flexible neural trees
中文智能答疑系统相关技术的研究与实现
Small-time scale network traffic prediction based on a local support vector machine regression model
基于保守自适应K-最近邻算法的维数约简
利用BP神经网络预测蛋白质三级结构
基于神经网络的蛋白质二级结构预测
基于GA优化的CMAC—PID板形复合控制
基于多表达式编程的汇率预测的研究
基于Delaunay三角剖分的指纹识别
Internet流量识别基础数据采集技术的研究
会议论文
Stock Index Forecasting Using PSO Based Selective Neural Network Ensemble
PSO based Traffic Flow Prediction Model
Exchange Rates Forecasting Using Tabu Search Based Flexible Neural Networks
A novel Classification Method using the Combination of Further Division of Partition Space and Flexi
Ensemble Model of Intelligent Paradigms for Stock Market Forecasting
Special Issue on Computational Intelligence in Information Retrieval
A Method About Load Distribution of Fishing Mills Based on RBF Neural Network
Evolving MIMO Flexible Neural Trees for Nonlinear System Identification
Task Scheduling Based on PSO Algorithm in Computational Grid
Research on Sampling Methods in Particle Filtering Based upon Microstructure of State Variable
Design of Flexible Neural Trees using Multi Expression Programming
Ensemble Classification based on Correlation Analysis for Face Recognition
Affective Computing Models based on Rough Fuzzy Sets
Signal Series-wound Prediction of Protein Secondary Structure
An Artificial Neural Networks Based Dynamic Decision Model for Time-Series Forecasting
Ensemble of Probabilistic Neural Networks for Protein Fold Recognition
A Region Reproduction Algorithm for Global Numerical Optimization
A MEP and IP Based Flexible Neural Tree Model for Exchange Rate Forecasting
A Region Reproduction Algorithm for Optimization of Neural Networks
Multi-layer Ensemble Classifiers on Protein Secondary Structure Prediction
MENN Method Applications for Stock Market Forecasting
Programming Hierarchical TS Fuzzy Systems
A Novel Method of P2P Hosts Detection Based on Flexible Neural Tree
Optimization and Design of Compound Fuzzy Control for Hydraulic Bending Roll System
Network Traffic Classification using Further Division of Partition Space
Face Recognition Using Kernel PCA and Hierarchical RBF Network
ICA Based on KPCA and Hybrid Flexible Neural Tree to Face Recognition
An IP and GEP Based Dynamic Decision Model for Stock Market Forecasting
A Novel Ensemble Approach for Cancer Data Classification
Inference of Differential Equations for Modeling Chemical Reactions
Intelligent Systems Design and Applications (ISDA 2006)
One Senor Source Separation
Grammar Guided Genetic Programming for FNT optimization
A Novel IGA-based Approach for Outlier Detection
Ensemble Classifiers based on Kernel ICA for Cancer Data Classification
Optimal Design of Hierarchical Wavelet Networks for Time-Series Forecasting
著作
Flexible Neural Trees: Theoretical Foundations, Perspectives and Applications
Computational Intelligence in Bioinformatics
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