NETWORK FEOW APPROACH TO RELIABILITY EVALUATION IN IARGE SCALE NETWORKS BY MIXING INCREASING ELOW WITH DECREASING FLOW     

Chen HuaZhou Jiaqi 《保鲜与加工》1990,(4):1-6

Based on the maximum flow principle about networks, a network flow approach to reliability evaluation in large scale netwerks ty mixing inereasing flow with decreasing flow is proposed in this paper.This approach gets the initial flow of each branch in a r.etwork associated with a state of the retwork by decreasing flows of some branches correlative to another state of the network.As a result, the number of flow compute required can be reduced enormously.The numerical example shows that the approach is powerful. The comparison of this approach with the minimal cutset one is also given in this paper.  相似文献   

Betterment of Gauss-seidel Fast Affine Algorithm Applied to Field Programmable Gate Array     

TANG Zhi-de  ZUO Yang-mei 《保鲜与加工》2006,(4):25-28

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A Study on Human Simulation Intelligent Control Algorithm to a Category of Objects     

Tu Yaqing Huang Shanglian Li Zushu 《保鲜与加工》1993,(6):8-15

Based on the model of Human Simulation Intelligent Controller (HSIC) presented briefly, a detailed algorithm was described for the servo system control by using the method of HSIC. Simulation results obtained proves the good performance of the control algorithm.  相似文献   

AN INTELLIGENT BACKTRACKING METHOD FOR SOLVING COMBINATORIAL PROBLEMS     

Zhou Liuding 《保鲜与加工》1991,(5):88-95

This paper proposes an intelligent method for solving a kind of intractable combinatorial problems, investigates and analyzes several important problems of this kind Theoretical and experimental results show that this method is better than the classical backtracking method.  相似文献   

Distribution Network Structure Planning Based on Improved Immune Genetic Algorithm     

YAN Wei  WANG Li-na 《保鲜与加工》2007,(1):28-31

Distribution Network Structure planning is a complex combinatorial optimization problem,which is difficult to solve properly by using traditional optimization methods.In order to solve this problem,Improved Immune Genetic Algorithm is introduced to the distribution network optimal planning. Improved Immune Genetic Algorithm draws into the immune diversity and antibody's density mechanism to maintain the individual's diversity and remains evolution algorithm's global stochastic searching ability,so it can promote diversity and the whole optimal-searching ability of genetic algorithm.The optimal module takes the minimum annual cost as its object,and the capacity and voltage drop of feeder and the radiation of distribution network as its restrictions.According to the require of radiation of distribution network,the spanning tree of the alternative network is taken as the initial solution to speed up the calculation.And the branch-exchange method is used in designing crossover operator and mutation operator to avoid the radiation checking and enhance the optimizing ability.This algorithm has been illustrated effectively by examples,at the same time,the calculation example demonstrates that,the algorithm has higher calculation speed than the traditional immune genetic algorithm.  相似文献   

Application of neural networks to the detection of pulse signals     

XU Fang-wei~  CAI Kun-bao~ 《保鲜与加工》2004,(8):35-39

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OPTIMIZATION OF BIPARTITE JOINS WITH GRAPH THGORY     

Zeag Yongning Tong Fu 《保鲜与加工》1989,(2):43-49

An optimization approach for multi-relational joins based on the matching concept in graph theory is introduced. The basic idea lies in constructing a join graph from an expression of N-relation query, and seeking for a maximun matching with minimun total weight. The algorithm for bipartition(X, Y) is proposed in this paper.  相似文献   

A Dynamic Model for Generation Expansion Planning and Algorithm     

Yang Xiutai Nie Duan 《保鲜与加工》1993,(4):6-10

This paper discusses the problem of long-range generation expansion planning. A dynamic model for long-range expansion planning is set up and an algorithm-a two-step programming is presented, which is used here in a case.  相似文献   

Some Problems about the Implementation of One dimensional Mallat Algorithm     

Xu Mintao Qin Shuren Chen Zhikui Yang Changqi 《保鲜与加工》1997,(1):7-13

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A New Adaptive Sequential Diagnosis Algorithm in the PMC Model     

Wang Xueqin  Zhou Liuding  Yang Xiaofan 《保鲜与加工》1996,(3):61-66

We present an adaptive algorithm for sequential diagnosis in the PMC model,which can directly identify a faulty processor without first identifying a fault-free processor.  相似文献