Computational Intelligence in Machine Learning / Lecture Notes in Electrical Engineering Bd.834 (PDF)

Knowledge-Based Neurocomputing, and co-edited twenty volumes in Springer Lecture Notes on Computer Science. In addition to his pioneering neural networks textbook, his most recognized achievements include an extension of complex-valued neurons to associative memories and perception networks; sensitivity concepts applied to multilayer neural networks; application of networks to clustering, biomedical image classification, and drug dosing; blind sources separation; and rule extraction as a tool for prediction of protein secondary structure.



Vinit Kumar Gunjan is an Associate Professor in the Department of Computer Science & Engineering at CMR Institute of Technology Hyderabad (affiliated to Jawaharlal Nehru Technological University, Hyderabad). An active researcher; published research papers in IEEE, Elsevier and Springer Conferences, authored several books and edited volumes of Springer series, most of which are indexed in SCOPUS database. Awarded with the prestigious Early Career Research Award in the year 2016 by Science Engineering Research Board, Department of Science & Technology Government of India. Senior Member of IEEE; an active Volunteer of IEEE Hyderabad section; volunteered in the capacity of Treasurer, Secretary and Chairman of IEEE Young Professionals Affinity Group and IEEE Computer Society. Was involved as organizer in many technical and non-technical workshops, seminars and conferences of IEEE and Springer. During his tenure, worked with top leaders of IEEE and was awarded with best IEEE Young Professional award in 2017 by IEEE Hyderabad Section.



Raman Balasubramanian is Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Roorkee. He received his Ph.D. in Mathematics (2001) from the Indian Institute of Technology Madras, India. He obtained his B.Sc. and M.Sc. in Mathematics from the University of Madras in 1994 and 1996. respectively. His research areas include computer vision, fractional transform theory, wavelet analysis, multimedia security, video skimming and summarization, medical imaging, machine learning, multilingual text recognition, EEG based pattern analysis, visualization, and volume graphics.