A Modified Adaptive Neuro-Fuzzy Inference Engine And Its Applications

Dr Jakir Hossen has received his PhD degree in Smart Technology and Robotics Engineering at Universiti Putra Malaysia(UPM). He is working as an academician at the Multimedia University(MMU), Malaysia. His research interests are in the area of Soft Computing techniques, Machine Learning, Robotics system and Big Data process.

The dream of machines or systems which can mimic human thinking has always been a research topic in computer science and engineering. With the advent of more and more powerful systems, this dream seems to be forever elusive. The Neuro-fuzzy inference engine and/or system is knowledge based data processing system and can manage the human reasoning course and create decisions based on uncertainty and imprecise situations. Neuro-fuzzy systems are globally employed for pattern recognition, industrial plant control, system predictions, modeling and other decision making purposes. Neuro-fuzzy systems are very popular among researchers in various advanced promising fields to help solve problems. The modified adaptive neuro-fuzzy inference engine has been proposed and applied in versatile applications in this book. This book would be favored for researcher, data analyzers, engineers and scientists who are intend to gather knowledge on soft computing techniques and apply into advanced data processing system.