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This paper first constructed a financial index system for credit assessment of listed companies, then analyzed the defects of BP neural network model and found out it is easy to fall into the defect of local optical solution. By introducing the revised connection weight value of genetic algorithms, constructed GA-BP neural network model, and selected 80 companies listed from 2004 to 2007 as training...
The multi-criteria degree-constrained minimum spanning tree problem (mcd-MST) is an important issue in wireless sensor networks (WSNs) topology control. However, the multi-criteria MST (mc-MST) is NP-hard problem and mcd-MST is a typical mc-MST. In this paper, we present an improved discrete particle swarm optimization (PSO) approach for mcd-MST which gives a good compromise between many key objectives...
Data mining has as goal to extract knowledge from large databases. To extract this knowledge, a database may be considered as a large search space, and a mining algorithm as a search strategy. In general, a search space consists of an enormous number of elements, which make it is infeasible to search exhaustively. As a search strategy, genetic algorithms have been applied successfully in many fields...
Road recognition from SAR image is a very important problem. In this paper, a new method is proposed which can detect multiple roads in an image. Firstly binary edge image is gained by Canny operator and edge refining. Secondly, edge curves are encoded by reversible chained list, and fitness function is constructed based on SAR image road models, and optimal road boundary curves are linked by improved...
Road recognition from SAR image is a very important problem. In this paper, a new method is proposed which can detect multiple roads in an image. Firstly binary edge image is gained by Canny operator and edge refining. Secondly, edge curves are encoded by reversible chained list, and fitness function is constructed based on SAR image road models, and optimal road boundary curves are linked by improved...
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