1st Edition

The Art of Learning Neural Networks and Education

By Francis T.S. Yu, Edward H. Yu, Ann G. Yu Copyright 2019
    98 Pages
    by CRC Press

    98 Pages 60 B/W Illustrations
    by CRC Press

    This book presents the idea that innovative ways of teaching and learning are very essential to retention and growth. Presented in 15 sections, the book starts with the common sense training on education and moves on to neural network operation. Throughout the book, the art of learning, associative, cognitive, and creative learning are stated and defined. Learning simplicity, information content as related to neural network learning are discussed. The author also discusses neural plasticity and adaptability in smarter neural networks.

    If we know our human brain’s basic abilities and limitation then a better educational methods can be implemented.

    • Presents the idea that innovative ways of teaching and learning are very essential to retention and growth

    • Discusses major differences and constraints between neural network and computer

    • Presents the significances of learning simplicity and information content as related to neural network learning are included

    • Stresses the neural network learning capabilities and limitations and their role in developing more efficient learning techniques


    Preface. Motivation. Common Sense on Training (or Education). Neural Networks. Major Differences between Neural Networks & Computers. Memory-Based Neural Networks. Artificial Neuron Operation. Associative Memory Neural Network. Supervised and Unsupervised Learning Neural Networks. Cognitive Learning (The Art of Understanding). Learning Simplicity (The Basics). Information Content and Neural Network Learning. Brain (Neural Network) Plasticity and Adaptively. Innovative Education (i.e., Training). Search for Innovative Education. A Few Thoughts to Share. Leadership in Education.


    Francis T. S. Yu received his B.S.E.E. degree from Mapua Institute of

    Technology Manila, Philippines, and his M.S. and Ph.D. degrees in

    Electrical Engineering from the University of Michigan. He has been a

    consultant to several industrial and governmental laboratories. He is an

    active researcher in the fields of optical signal processing, holography,

    information optics, optical computing, neural networks, photorefractive

    optics, fiber sensors, and photonic devices. He has published over five

    hundred papers, in which over three hundred are referred. He is a

    recipient of the 1983 Faculty Scholar Medal for Outstanding Achievement

    in Physical Sciences and Engineering, a recipient of the 1984

    Outstanding Researcher in the College of Engineering, was named Evan

    Pugh Professor of Electrical Engineering in 1985 at Penn State, a

    recipient of the 1993 Premier Research Award from the Penn State

    Engineering Society, was named Honorary Professor in Nankai University

    in 1995, is the corecipient of the 1998 IEEE Donald G. Fink

    Prize Paper Award, was named Honorary Professor of the National

    Chiao-Tung University in Taiwan, and is the recipient of the SPIE 2004

    Dennis Garbor Award. He has served as an associate editor editorial

    board member, and a guest editor for various international journals. He

    is the author and coauthor of nine books. Dr. Yu is a life fellow of IEEE

    and a fellow of OSA, SPIE, and PSC.

    Edward H. Yu is a teacher, writer, and the author of The Art of

    Slowing Down: A Sense-Able Approach to Running Faster(Panenthea

    Press) and The Mass Psychology of Fittism: Fitness, Evolution & the

    First Two Laws of Thermodynamics (Undocumented Worker Press).

    Ann G. Yu lives and works in Los Angeles.