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Mount Zion College of Engineering and Technology

Many computational intelligence and learning methods, such as expert systems, neural networks, genetic algorithms and so on have found success in a variety of control and automation fields. Intelligent Control, which differs from conventional approaches is based on methodologies derived from Artificial Intelligence[AI] and soft computing techniques is capable of dealing with problems in diverse computational and communication domains and, more recently, those related to renewable energy and mobile autonomous systems, where conventional methods were unsuccessful.

Tel.: [9894162587];     Email: icacrs.confe@gmail.com

Robotik, Automatisierung & Mechatronik,    Erneuerbare Energien und Wäremekraftwerke