Title :
Chirality in neural network systems
Author :
Yoshida, Hitoaki ; Miura, Mamoru
Author_Institution :
Dept. of Comput. Sci., Iwate Univ., Morioka, Japan
Abstract :
The concept of chirality is introduced artificial neural network field separation methods of enantiomers. The separated chiral network shows a characteristic function in most cases, and the combination of the chiral subunits implements new functions
Keywords :
chirality; isomerism; neural nets; ANN field separation methods; artificial neural network; characteristic function; chirality; enantiomers; neural network systems; Artificial neural networks; Biomedical optical imaging; Chemicals; Chemistry; Intelligent networks; Mirrors; Neural networks; Neurons; Optical computing; Proteins;
Conference_Titel :
Circuits and Systems, 1994. APCCAS '94., 1994 IEEE Asia-Pacific Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2440-4
DOI :
10.1109/APCCAS.1994.514514
