Yu The Art of Learning

Neural Networks and Education
1. Auflage 2018
ISBN: 978-1-351-11633-6
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 96 Seiten

This book has 15 sections. It starts with the common sense on education and moves on to the neural network operation. 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. Additionally, the author 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.

Autoren/Hrsg.

Yu, Francis T.S.

Yu, Edward H.

Yu, Ann G.

Fachgebiete

• Technische Wissenschaften Technik Allgemein Technische Zuverlässigkeit, Sicherheitstechnik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft

Inhaltsverzeichnis

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.

Über Autor(innen)

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 government 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 500 papers, in which over 300 are refereed. 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 co-recipient 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 associate editor, editorial board member and guest editor for various international journals. He is the author and co-author of nine books. Dr. Yu is a life fellow of IEEE and a fellow of OSA, SPIE, and PSC.