Title :
A new neural structure with parallel and serial output via functional CPBUM neural network
Author :
Lee, Tsu Tain ; Chen, Te Mu ; Jeng, Jin Tsong
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
The authors propose a new neural structure with parallel and serial output via functional CPBUM neural network. Specifically, we combine the advantages in series to series and parallel to parallel to develop a parallel and serial output learning structure. Hence, the proposed model can reduce the computational complexity via the similarity analysis and sensitivity analysis. It is shown that the similarity analysis can be employed to determine the knowledge base of the controller. Furthermore, it is also shown that the sensitivity analysis can provide valuable information between input-output training pairs
Keywords :
Chebyshev approximation; computational complexity; feedforward neural nets; knowledge based systems; learning (artificial intelligence); neural net architecture; parallel processing; sensitivity analysis; Chebyshev Polynomials Based Unified Model neural net; computational complexity; functional CPBUM neural network; input-output training pairs; knowledge base; neural structure; parallel output; sensitivity analysis; serial output; serial output learning structure; similarity analysis; Artificial neural networks; Chebyshev approximation; Computational complexity; Electronic mail; Feedforward neural networks; Function approximation; Neural networks; Polynomials; Recurrent neural networks; Sensitivity analysis;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.884391
