Bio-inspired Computing - Theories and Applications : 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part II
Bio-inspired Computing - Theories and Applications : 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part II
edited by Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang
- Singapore Springer 2016
- 1 recurso en línea (XIX, 540 p.) 152 ilustraciones
- Communications in Computer and Information Science 682 1865-0929 .
- Communications in Computer and Information Science 682 .
Evolutionary Computing -- Multi-objective Optimization -- Pattern Recognition -- Others
The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi'an, China, in October 2016. The 115 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers of Part I are organized in topical sections on DNA Computing; Membrane Computing; Neural Computing; Machine Learning. The papers of Part II are organized in topical sections on Evolutionary Computing; Multi-objective Optimization; Pattern Recognition; Others.
9789811036149
10.1007/978-981-10-3614-9 doi
Inteligencia artificial
Simulación por ordenador
Q335 / .B562 2016 EB
Evolutionary Computing -- Multi-objective Optimization -- Pattern Recognition -- Others
The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi'an, China, in October 2016. The 115 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers of Part I are organized in topical sections on DNA Computing; Membrane Computing; Neural Computing; Machine Learning. The papers of Part II are organized in topical sections on Evolutionary Computing; Multi-objective Optimization; Pattern Recognition; Others.
9789811036149
10.1007/978-981-10-3614-9 doi
Inteligencia artificial
Simulación por ordenador
Q335 / .B562 2016 EB