DocumentCode :
2434994
Title :
A CMAC neural network chip for color correction
Author :
Wen, Rong-Chang ; Ker, Jar-Shone ; Kuo, Yau-Hwang ; Liu, Bin-Da ; Chang, Gao-Wei
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume :
3
fYear :
1994
fDate :
27 Jun-2 Jul 1994
Firstpage :
1943
Abstract :
This paper presents the design and implementation of a CMAC neural network chip used in color image reproduction systems for color correction. An effective address mapping procedure is proposed to implement the hardware architecture of CMAC model, which has the advantages of high processing speed and low chip area overhead. VHDL-based high-level synthesis approach is employed for the synthesis of logic circuit of CMAC chip
Keywords :
cerebellar model arithmetic computers; circuit CAD; printers; CMAC neural network chip; VHDL-based high-level synthesis; address mapping procedure; color correction; color image reproduction systems; hardware architecture; logic circuit; printer; Brain modeling; Color; Computer architecture; Function approximation; Hardware; High level synthesis; Laboratories; Neural networks; Printing; Quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
Type :
conf
DOI :
10.1109/ICNN.1994.374458
Filename :
374458
Link To Document :
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