The Software Implementation of Neural Network Fuzzy Inference Cooperation System

This poper sets up a new Neural Network Fuzzy inference Cooperation system which is based on fuzzy inference principle in Expert Systems,take advantage of the powerful learning function, the little sensitivity to input layer's samples,and the fast convergence and so on in FCBP and take advantage of the good sort property and good suit property to fuzzy value in MFART Network.     

The Inherent Fault Tolerance of Multi-Layer Neural Networks

The inherent fault tolerance of multilayer neural networks (MLNs) is due to thedistributed properties of information processing and information storage in an MLN , and the inher-ent fault-masking capability of every neuron. Also,the concept of inherent fault tolerance of MLNsis formalized, Finally, perceptrons and three-layer nets are shown inherently fault tolerant underreasonable statistical conditions,respectively.     

A MULTI -OBJECTIVE FUZZY DECISION -MAKING APPROACH FOR POWER NETWORK PLANNING UNDER UNCERTAINTY

This paper proposes a multi - objective fuzzy decision - making approach for power network planning under uncertainty ,which simutaneously considers not only the least investment cost,the minimum power loss,the maximum reliability,and the least environmental impacts, but also the uncertainty about the future load growth and the capital investment availability. The validity and effectiveness of the proposed approach is verified with numerical examples.     

棉花对红铃虫抗性及有关性状的遗传分析

1990～1991年选用对红铃虫抗性有显著差异的8个棉花稳定基因型,按第二种双列杂交方案分析棉花对红铃虫的抗性遗传行为,测试48个性状,结果表明:(1)侵入率和子害率的h_B中等,GCV较大;铃壳厚度、衣指和衣分的h_B较高,GCV也较大;铃壳致密度、单铃重和子指h_B较高而GCV较小;铃壳含水量等11个性状h_B中偏低,GCV也较小。(2)子指和绒长的GCA和SCA差异均显著,子仁丹宁含量的SCA差异显著而GCA不显著,子害率、铃壳含水量、子仁淀粉、单铃重、衣指、衣分、纤维比强度、伸长率和麦克隆值均为GCA差异显著而SCA不显著。(3)以83—82、7211、7209、1118和华棉101为亲本可提高后代的抗性。(4)铃壳的4个厚度性状、致密度、含水量、丹宁含量和子仁的类黄酮、总酚共9个理化性状与抗性至关,而遗传特点较好或中等,子害率与主要经济性状间的遗传相关系数多为较高正值。本文还就有关问题进行了讨论。     

大麦多数量性状相关分析

穗长、穗粒重两性对小区产量直接影响较大;每穗实粒数和每穗不实粒两性状数对小区产量直接影响很小,但通过其他性状对小区产量的间接负影响很大;每穗总粒数对小区产量直接负影响很大,株高通过其他性状对小区产量间接正影响很大。     

The Method of Diagnosing Brain-dysfunction Based on Membership Function and BP Neural Network

Membership functions.formed with the characteristic values obtained by applying the continuous reaction time (CRT) theory from controls and heptic encephalopthy and proposedin this paper.whith these membership functions,the CRT data to be diagnosed are calculated in advance,and then discriminated by BP meural network to differentiate patients with or without braindysfunction.The troubles of low accuracy and efficiency,encountered in training BP network withfuzzy samples.scattered data and extended samples,are solved.     

基于SOFM神经网络的核心种质取样算法

介绍了核心种质和自组织特征映射网络的基本概念，使用自组织特征映射网络的自组织特性对种质性状数据进行了聚类，利用聚类的分组结果，提取核心种质，通过对核心种质的各种参数的检验并与完全随机取样和一般的系统聚类的对比。结果表明，SOFM的取样算法，是一种比较有效快捷的算法，可以在实际中加以应用。     

信息网络系统可靠性问题的探讨

探讨了网络安全受到主动威胁时的网络可靠性,通过信息网络可靠性定义的确定,建立了信息网络的一般可靠性模型以及受有无主动攻击时信息网络的受损情况,得到了信息网络系统的可靠性评估方法,为信息网络的免遭破坏提供预防措施。     

土壤水分特征曲线几种标定的对比分析

土壤水分特征曲线的标定是土壤水的能量和数量关系在不同尺度间转换的方法,也是植被生态需水机理研究的重要组成部分。通过对传统的迭代法、一次法和建立的2种混合遗传算法进行比较,标定的结果表明,多项式遗传算法能综合考虑2种方差的影响,并能给出一致性的标定结果,这种经验式混合遗传算法对传统的标定算法进行了改进。     

东深供水改造工程泵站微机保护网络

东深供水改造工程微机保护系统分为工业总线网络和光纤通讯两部分；工业总线网络采用了Profibus通讯协议，该协议具有反应时间短，抗干扰性强的特点；光纤通讯则具有反应时间不受电磁场和电磁辐射的影响等特点。