Extended Abstracts Of The 1999 International Conference On Solid State Devices And Materials PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Extended Abstracts Of The 1999 International Conference On Solid State Devices And Materials PDF full book. Access full book title Extended Abstracts Of The 1999 International Conference On Solid State Devices And Materials.

Solid State Devices and Materials

Solid State Devices and Materials
Author: Ōyō Butsuri Gakkai
Publisher:
Total Pages:
Release: 1991
Genre: Compound semiconductors
ISBN:

Download Solid State Devices and Materials Book in PDF, ePub and Kindle


Brainware

Brainware
Author: Tsutomu Miki
Publisher: World Scientific
Total Pages: 245
Release: 2001
Genre: Computers
ISBN: 9812810250

Download Brainware Book in PDF, ePub and Kindle

The human brain, the ultimate intelligent processor, can handle ambiguous and uncertain information adequately. The implementation of such a human-brain architecture and function is called OC brainwareOCO. Brainware is a candidate for the new tool that will realize a human-friendly computer society. As one of the LSI implementations of brainware, a OC bio-inspiredOCO hardware system is discussed in this book. Consisting of eight enriched versions of papers selected from IIZUKA ''98, this volume provides wide coverage, from neuronal function devices to vision systems, chaotic systems, and also an effective design methodology of hierarchical large-scale neural systems inspired by neuroscience. It can serve as a reference for graduate students and researchers working in the field of brainware. It is also a source of inspiration for research towards the realization of a silicon brain. Contents: Neuron MOS Transistor: The Concept and Its Application (T Shibata); Adaptive Learning Neuron Integrated Circuits Using Ferroelectric-Gate FETs (S-M Yoon et al.); An AnalogOCoDigital Merged Circuit Architecture Using PWM Techniques for Bio-Inspired Nonlinear Dynamical Systems (T Morie et al.); Application-Driven Design of Bio-Inspired Low-Power Vision Circuits and Systems (A KAnig et al.); Motion Detection with Bio-Inspired Analog MOS Circuits (H Yonezu et al.); cents MOS Cellular-Automaton Circuit for Picture Processing (M Ikebe & Y Amemiya); Semiconductor Chaos-Generating Elements of Simple Structure and Their Integration (K Hoh et al.); Computation in Single Neuron with Dendritic Trees (N Katayama et al.). Readership: Graduate students, researchers and industrialists in artificial intelligence, neural networks, machine perception, computer vision, pattern/handwriting recognition, image analysis and biocomputing."