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武汉工业学院毕业论文论文题目：智能信息处理理论与方法姓名王斌学号071203226院（系）数理科学系专业电子信息科学与技术指导教师李相虎2011年6月10日目录第一章绪论.....................................................................................................................................11.1智能信息处理的产生及其发展........................................................................................11.1.1计算智能的产生.....................................................................................................11.1.2信息处理技术的应用和现状.................................................................................4第二章智能信息处理的主要技术...............................................................................................82.1.1什么是模糊逻辑.....................................................................................................82.1.2模糊逻辑控制技术...............................................................................................102.1.3模糊处理技术.......................................................................................................122.2神经计算技术.................................................................................................................132.2.1脑神经系统...........................................................................................................132.2.2神经网络的主要特征...........................................................................................142.3进化计算技术..................................................................................................................152.3.1遗传算法的发展过程............................................................................................152.3.2遗传算法的基本理论研究...................................................................................152.3.3进化计算与遗传算法的关系...............................................................................162.3.4遗传算法参数的选择...........................................................................................162.3.5遗传算法的应用...................................................................................................172.4混沌计算技术..................................................................................................................192.4.1混沌时间序列预测和控制...................................................................................202.4.2混沌神经网络.......................................................................................................202.4.3混沌在多Agent系统中的应用...........................................................................212.4.4混沌同步和通信....................................................................................................222.5分形计算技术..................................................................................................................242.5.1分形的基本概念....................................................................................................242.5.2分形维数...............................................................................................................262.5.3分形的应用...........................................................................................................26第三章总结与展望...................................................................................................................27致谢................................................................................................................................................28参考文献.........................................................................................................................................29I摘要随着信息技术在企业的日益普及，信息系统在工具手段、开发模式、软件规模、指导思想等方面的不断提升，企业在信息需求方面日趋多样化、人性化、智能化，智能信息处理成为信息系统发展的一个重要方向。多年来，人们一直在探索新一代的信息处理技术。自20世纪90年代以来，国际上掀起了一股强劲的研究模糊逻辑系统、神经网络、遗传算法、信息融合、混沌与分形理论与技术的热潮，推动了软计算、软处理技术的深入发展。近年来，模糊计算、神经计算、进化计算、混沌与分形计算、小波交换、人工生命科学等新一代智能信息处理技术的研究，不仅在各自的学科领域取得了引人瞩目的发展，而且它们之间的相互渗透和有机结合必然引起智能信息处理技术的革命。关键词：智能信息处理；模糊计算；神经计算；遗传算法；混沌与分形IIAbstractWiththepopularizationofinformationtechnologyinenterpriseandtheincreaseofthefollowingaspectsofinformationsystem:developmenttools,developmentmode,softwaredimension,guidingideologyandsoon,demandsforinformationbecomemoreandmorevarious,personalandintelligent,intelligenceinformationprocessinghasbecomeanimportantdevelopmenttrendofinformationsystem.Thetraditionalmethodsdependonlyontheintroductionofartificialintelligence.Therearesomefaultsinintelligenceinformationprocessingfromtheinformationchainviewpointofdata,informationandknowledge.Firstly,intheaspectofdataautomaticacquisition,althoughseveralintelligentinstrumentshavebeenbroughtforward,lessresearchwasmadeonhowtoacquiredataautomatically,correctlyandwithnoredundancyundertheconditionofmultiplesignalsources.TheSecondisthesimplepatternininformationprocessingandthelackstudyoforganizationandpresentationofmulti-structureandmulti-sourceinformation.Inrecentyears,theresearchofFuzzycomputing，Neuralcomputing，GeneticAlgorithm，ChaosandFractalcomputing，ArtificialLifeScienceshasmadeNoteworthyachievements，anditwillinevitablyleadtointelligentinformationprocessingtechnologyrevolutionKeyword：IntelligentInformationProcessing；FuzzycomputingNeuralcomputing；GeneticAlgorithm；Chao