Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Information Technology Applications in Industry |
| Pages | 1304-1309 |
| Number of pages | 6 |
| Edition | PART 1 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 2012 International Conference on Information Technology and Management Innovation, ICITMI 2012 - Guangzhou, China Duration: 10 Nov 2012 → 11 Nov 2012 |
Publication series
| Name | Applied Mechanics and Materials |
|---|---|
| Number | PART 1 |
| Volume | 263-266 |
| ISSN (Print) | 1660-9336 |
| ISSN (Electronic) | 1662-7482 |
Conference
| Conference | 2012 International Conference on Information Technology and Management Innovation, ICITMI 2012 |
|---|---|
| Country/Territory | China |
| City | Guangzhou |
| Period | 10/11/12 → 11/11/12 |
Keywords
- Analog Computation
- Feedforwad Array
- Particle Swarm Optimizer
- micro-Extended-Analog-Computater
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Wang, J., Zhang, Y., Ai, D., & Pan, F. (2013). Feedforward micro-Extended-Analog-Computer array. In Information Technology Applications in Industry (PART 1 ed., pp. 1304-1309). (Applied Mechanics and Materials; Vol. 263-266, No. PART 1). https://doi.org/10.4028/www.scientific.net/AMM.263-266.1304