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In the Immune Neural Network (INN), the key point is stability and convergence. The existing INN has shortages in the control of local optimization, so the paper bring forward INN algorithm which is based on extension theory. With the concepts of dependent function and matter-element, the improved algorithm firstly can optimize architecture and rule extraction of INN. And then, the new algorithm is...
When traditional genetic algorithm is applied in mining association rules, it would get into local prematurity and becomes slow-footed in convergence.The paper brings forward that evolution strategy's excellence is applied in genetic algorithmpsilas evolutional process. Then optimized genetic algorithm is used for mining association rules. In order to test the validity of the arithmetic, this paper...
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