A Supplementary Model Based on BP Neural Network Optimization Algorithm and Data Set Classification Availability Evaluation

Author(s):  
Fanzhe Zhao ◽  
Yongqi Yang ◽  
Yuxiang Gong ◽  
Shang Lv ◽  
Tingyu Zhang
2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Nicholas Ampazis ◽  
Stavros J. Perantonis

A constrained neural network optimization algorithm is presented for factorizing simultaneously the numerator and denominator polynomials of the transfer functions of 2-D IIR filters. The method minimizes a cost function based on the frequency response of the filters, along with simultaneous satisfaction of appropriate constraints, so that factorization is facilitated and the stability of the resulting filter is respected.


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