Art of Learning

Francis T. S. Yu received his B.S.E.E. degree from Mapua Institute ofTechnology Manila, Philippines, and his M.S. and Ph.D. degrees inElectrical Engineering from the University of Michigan. He has been aconsultant to several industrial and governmental laboratories. He is anactive researcher in the fields of optical signal processing, holography,information optics, optical computing, neural networks, photorefractiveoptics, fiber sensors, and photonic devices. He has published over fivehundred papers, in which over three hundred are referred. He is arecipient of the 1983 Faculty Scholar Medal for Outstanding Achievementin Physical Sciences and Engineering, a recipient of the 1984Outstanding Researcher in the College of Engineering, was named EvanPugh Professor of Electrical Engineering in 1985 at Penn State, arecipient of the 1993 Premier Research Award from the Penn StateEngineering Society, was named Honorary Professor in Nankai Universityin 1995, is the corecipient of the 1998 IEEE Donald G. FinkPrize Paper Award, was named Honorary Professor of the NationalChiao-Tung University in Taiwan, and is the recipient of the SPIE 2004Dennis Garbor Award. He has served as an associate editor editorialboard member, and a guest editor for various international journals. Heis the author and coauthor of nine books. Dr. Yu is a life fellow of IEEEand a fellow of OSA, SPIE, and PSC.Edward H. Yu is a teacher, writer, and the author of The Art ofSlowing Down: A Sense-Able Approach to Running Faster(PanentheaPress) and The Mass Psychology of Fittism: Fitness, Evolution & theFirst 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.