摘要
This letter analyzes the reasons why the known Neural Back Promulgation (NBP)network learning algorithm has slower speed and greater sample error. Based on the analysis and experiment, the training group descending Enhanced Combination Algorithm (ECA) is proposed.The analysis of the generalized property and sample error shows that the ECA can heighten the study speed and reduce individual error.
This letter analyzes the reasons why the known Neural Back Promulgation (NBP) network learning algorithm has slower speed and greater sample error. Based on the analysis and experiment, the training group descending Enhanced Combination Algorithm (ECA) is proposed. The analysis of the generalized property and sample error shows that the ECA can heighten the study speed and reduce individual error.
基金
the National Defense Research item "Data fusion" of Tenth Five-Year Plan 102010203
