Ajith Abraham (ed.); Aswani Kumar Cherukuri (ed.); Ana Maria Madureira (ed.); Azah Kamilah Muda (ed.) Springer (2017) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Ana Maria Madureira (ed.); Ajith Abraham (ed.); Niketa Gandhi (ed.); Maria Leonilde Varela (ed.) Springer (2019) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Patrick Siarry (ed.); M.A. Jabbar (ed.); Rajanikanth Aluvalu (ed.); Ajith Abraham (ed.); Ana Madureira (ed.) Springer (2021) Saatavuus: Tilaustuote Kovakantinen kirja
M.A. Jabbar; MVV Prasad Kantipudi; Sheng-Lung Peng; Mamun Bin Ibne Reaz; Ana Maria Madureira River Publishers (2021) Saatavuus: Tilaustuote Kovakantinen kirja
Ajith Abraham; Anu Bajaj; Niketa Gandhi; Ana Maria Madureira; Cengiz Kahraman Springer International Publishing AG (2023) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Ajith Abraham (ed.); Ana Maria Madureira (ed.); Arturas Kaklauskas (ed.); Niketa Gandhi (ed.); Anu Bajaj (ed.); Azah Muda Springer (2022) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Patrick Siarry (ed.); M.A. Jabbar (ed.); Rajanikanth Aluvalu (ed.); Ajith Abraham (ed.); Ana Madureira (ed.) Springer (2022) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Springer Sivumäärä: 196 sivua Asu: Kovakantinen kirja Painos: 2011 Julkaisuvuosi: 2010, 02.12.2010 (lisätietoa) Kieli: Englanti
Computational Intelligence for Engineering Systems provides an overview and original analysis of new developments and advances in several areas of computational intelligence. Computational Intelligence have become the road-map for engineers to develop and analyze novel techniques to solve problems in basic sciences (such as physics, chemistry and biology) and engineering, environmental, life and social sciences. The contributions are written by international experts, who provide up-to-date aspects of the topics discussed and present recent, original insights into their own experience in these fields. The authors also include methods that apply to diverse fields such as manufacturing, tourism, power systems, computer science, robotics, chemistry, and biology.
Topics include: Simulation and evolution of real and artificial life forms; Self-organization; Models of communication and social behaviors; Emergent collective behaviors and swarm intelligence; Adaptive, complex and biologically inspired systems; Power Systems ; Web-based Applications; Knowledge discovery; Intelligent Tutoring Systems ; Decision support Systems; Intelligent Tutoring Systems.
