Titlebook: Radial Basis Function Networks 2; New Advances in Desi Robert J. Howlett,Lakhmi C. Jain Book 2001 Springer-Verlag Berlin Heidelberg 2001 Ne

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書目名稱Radial Basis Function Networks 2影響因子(影響力)




書目名稱Radial Basis Function Networks 2影響因子(影響力)學(xué)科排名




書目名稱Radial Basis Function Networks 2網(wǎng)絡(luò)公開度




書目名稱Radial Basis Function Networks 2網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Radial Basis Function Networks 2被引頻次學(xué)科排名




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Book 2001onal approximation applications, accompanied by training that is more rapid than that of many other neural-network techniques. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF net

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Using Radial Basis Function Networks for Hand Gesture Recognition,ognition. This chapter furthermore applies evolutionary algorithms to fine tune pre-learned radial basis function networks. After optimization, the network achieves a recognition rate of up to 100%, and is therefore comparable or even better than that of back-propagation networks.

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