Introduction To The Theory Of Neural Computation, Volume I by Anders S. Krogh, John A. Hertz, Richard G. Palmer

Introduction To The Theory Of Neural Computation, Volume I



Introduction To The Theory Of Neural Computation, Volume I book




Introduction To The Theory Of Neural Computation, Volume I Anders S. Krogh, John A. Hertz, Richard G. Palmer ebook
Format: djvu
Page: 328
ISBN: 0201515601, 9780201515602
Publisher: Westview Press


This book comprehensively discusses the neural network models from a statistical mechanics perspective. Palmer, Introduction to the Theory of Neural Computation (Addison-. Books: Introduction To The Theory Of Neural Computation, Volume I. Taskar (Eds.), Introduction to statistical relational learning (pp. Journal of Experimental Psychology: Learning, Memory, and Cognition, Vol 34(5), Sep 2008, 1111-1122. Palmer, “Introduction to the Theory of Neural Computation.” Reading, MA: Addison-Wesley, 1991. No specific background other than mathematics (multi-variate calculus, differential equations, and linear algebra) is assumed. A clear exposition of the theoretical aspects of neural computation. Title:Introduction To The Theory Of Neural Computation, Volume I (Santa Fe Institute Series) free ebook dovvnload. Wesley, Redwood City, CA, 1991). Nunez, Neocortical Dynamics and Human EEG Rhythms (Oxford University Press, New York,. Amazon.com: Understanding Neural Networks eBook: John Iovine. Lee, Hee Seung; Holyoak, Keith J. Based on event-driven computation, SpikeNet have reported successfully tracking and recognizing faces in real time without increasing computation burden. Barnden (Eds.), Advances in connectionist and neural computation theory: Vol. Amazon.com: Neural Networks: Books 21 new from $129.99..