The Art of Learning

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.

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.