Cantitate/Preț
Produs

Artificial Intelligence in Logic Design: The Springer International Series in Engineering and Computer Science, cartea 766

Editat de Svetlana N. Yanushkevich
en Limba Engleză Paperback – 4 dec 2010
There are three outstanding points of this book. First: for the first time, a collective point of view on the role of artificial intelligence paradigm in logic design is introduced. Second, the book reveals new horizons of logic design tools on the technologies of the near future. Finally, the contributors of the book are twenty recognizable leaders in the field from the seven research centres. The chapters of the book have been carefully reviewed by equally qualified experts. All contributors are experienced in practical electronic design and in teaching engineering courses. Thus, the book's style is accessible to graduate students, practical engineers and researchers.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 97245 lei  6-8 săpt.
  SPRINGER NETHERLANDS – 4 dec 2010 97245 lei  6-8 săpt.
Hardback (1) 98138 lei  6-8 săpt.
  SPRINGER NETHERLANDS – 27 iul 2004 98138 lei  6-8 săpt.

Din seria The Springer International Series in Engineering and Computer Science

Preț: 97245 lei

Preț vechi: 121555 lei
-20% Nou

Puncte Express: 1459

Preț estimativ în valută:
18617 19351$ 15435£

Carte tipărită la comandă

Livrare economică 07-21 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789048165834
ISBN-10: 9048165830
Pagini: 340
Ilustrații: IV, 334 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.48 kg
Ediția:Softcover reprint of hardcover 1st ed. 2004
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science

Locul publicării:Dordrecht, Netherlands

Public țintă

Research

Cuprins

Editorial.- Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited.- Evolutionary Synthesis of Arithmetic Circuit Structures.- Bi-Decomposition of Function Sets in Multiple-Valued Logic for Circuit Design and Data Mining.- Advanced AI Search Techniques in Modern Digital Circuit Synthesis.- Exploiting Functional Properties of Boolean Functions for Optimal Multi-Level Design by Bi-Decomposition.- Evolutionary Approach to Quantum and Reversible Circuits Synthesis.- Conquering Uncertainty in Multiple-Valued Logic Design.- Evolutionary Synthesis of Logic Circuits Using Information Theory.- Three-Dimensional Feedforward Neural Networks and Their Realization by Nano-Devices.