Computational Intelligence for Industrial and Environmental Applications

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The Journal focuses on Computational Intelligence, Neural Networks, Industrial monitoring, Environmental monitoring, and Control system .Ability of computer to learn a specific task from data or experimental observations. Though it is commonly considered a synonym of soft computing, there is still no commonly accepted definition of computational intelligence. A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. Environmental monitoring is the process of sampling and analyzing specific environmental media (such as soil, water, or plants) for evidence of contaminant levels over time. From: Handbook of Environmental Engineering Assessment, 2012. A control system is an arrangement of gadgets that oversees orders, coordinates or directs the conduct of other gadget or systems to accomplish desire about. Control system can be defined as a system which controls other system. Classification of Control Systems: continuous time and discrete-time control systems, siso and mimo control systems, open loop and closed loop control systems.

Computational Intelligence (CI) techniques are being increasingly used for automatic monitoring and control systems, especially regarding industrial and environmental applications, due to their performance, their capabilities in fusing noisy or incomplete data obtained from heterogeneous sensors, and the ability in adapting to variations in the operational conditions. Moreover, the increase in the computational power and the decrease of the size of the computing architectures allowed a more pervasive use of CI techniques in a great variety of situations. In this paper, we propose a brief review of the most important CI techniques applied in each step of the design of a monitoring and control system for industrial and environmental applications, and describe how these techniques are integrated in the development of efficient industrial and environmental applications.

Best Regards,
Editorial Manager

Journal of Industrial Electronics and Applications
Email: industrialelect@peerreviewedjournal.org