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In linear space, the classical perceptron algorithm is simple and practical. But when concerning the nonlinear space it is severely confined mainly on its signal layer structure. This paper analyzes the geometry characteristic of solve region in the pattern set, and presents a new algorithm based on the solve region. The new algorithm could find the better solve vector in the solve region on condition...
This paper puts forward a new improved perception algorithm based on solution region by analyzing the pattern's solution geometric characteristic in space. The algorithm could find a better solution vector in solution region on condition that the pattern's linearity is separable. Otherwise, it indicates the linearity isn't separable. That is, it can discern that the solution region doesn't exist....
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