TY - GEN
T1 - Feedforward micro-Extended-Analog-Computer array
AU - Wang, Jiasi
AU - Zhang, Ying
AU - Ai, Diming
AU - Pan, Feng
PY - 2013
Y1 - 2013
N2 - The micro-Extended-Analog-Computater(uEAC) is a newly emergent unconventional computing model under research and development. Although, a single uEAC unit can achieve some classic pattern classification problem, the slop of the classification face generated by uEAC is a constant and moves parallely. So a feedforward array structure is proposed for the improvement of uEAC, and Particle Swarm Optimizer(PSO) is utilized to configure the uEAC array. The analysis of the mapping characteristics and numerical experiments both illustrate the effectiveness of the improvement.
AB - The micro-Extended-Analog-Computater(uEAC) is a newly emergent unconventional computing model under research and development. Although, a single uEAC unit can achieve some classic pattern classification problem, the slop of the classification face generated by uEAC is a constant and moves parallely. So a feedforward array structure is proposed for the improvement of uEAC, and Particle Swarm Optimizer(PSO) is utilized to configure the uEAC array. The analysis of the mapping characteristics and numerical experiments both illustrate the effectiveness of the improvement.
KW - Analog Computation
KW - Feedforwad Array
KW - Particle Swarm Optimizer
KW - micro-Extended-Analog-Computater
UR - http://www.scopus.com/inward/record.url?scp=84872482959&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.263-266.1304
DO - 10.4028/www.scientific.net/AMM.263-266.1304
M3 - Conference contribution
AN - SCOPUS:84872482959
SN - 9783037855744
T3 - Applied Mechanics and Materials
SP - 1304
EP - 1309
BT - Information Technology Applications in Industry
T2 - 2012 International Conference on Information Technology and Management Innovation, ICITMI 2012
Y2 - 10 November 2012 through 11 November 2012
ER -