Research on Conditioning and Application for the F2N2

Zhong Nian Li; Lei Zhou

doi:10.4028/www.scientific.net/AMR.1070-1072.2087

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1070-1072Research on Conditioning and Application for the...

Research on Conditioning and Application for the F²N²

Abstract:

as everyone knows, conditioning F²N² (Feed Forward Neural Network) in many ways, but ways, but has so far failed to completely solve the "convergence not quickly" and "convergence is not robust"of these two problems, thus affecting the application of F²N². Aiming at this problem, pro this paper puts forward a new method of processing and application of F²N², the method of flexible BPNN (Back Propagation Neural Network) algorithm and hierarchical optimization algo-rithm as a whole, each layeris independent rights attached to the conditioning process, carefully con-structed F²N² objective function is non linear series based on the description, not only can the optimization of each layer of the weight problem is simplified to a linear problem, but also can effec-tively controlthe linearity error. This paper provides several examples of application of F²N² automa-tic detection, the results of application show that, this method is superior to other methods.

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Periodical:

Advanced Materials Research (Volumes 1070-1072)

Pages:

2087-2090

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1070-1072.2087

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Online since:

December 2014

Authors:

Zhong Nian Li, Lei Zhou

Keywords:

BPNN, Conditioning, Convergence, F²N², Stratification

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