Identificacion Principal del registro INGC-EBK-000331

Control Number Identifier AR-LpUFI

LAST MODIFICATION DATE 20160829144658

CONTROL FIELD cr nn 008mamaa

CONTROL FIELD 131118s2014 gw | s |||| 0|eng d

a International Standard Book Number 9783319031101

a Standard number or code 10.1007/978-3-319-03110-1

a Personal name Nedjah, Nadia.

a Title Hardware for Soft Computing and Soft Computing for Hardware

h Medium [libro electrónico] /

c Statement of responsibility, etc by Nadia Nedjah, Luiza de Macedo Mourelle.

a Place of publication, distribution, etc Cham :

b Name of publisher, distributor, etc Springer International Publishing :

b Name of publisher, distributor, etc Imprint: Springer,

c Date of publication, distribution, etc 2014.

a Extent xii, 198 p. :

b Other physical details il.

a Series statement Studies in Computational Intelligence,

x International Standard Serial Number 1860-949X ;

v Volume number/sequential designation 529

a Summary, etc Single and Multi-Objective Evolutionary Computation (MOEA),  Genetic Algorithms (GAs), Artificial Neural Networks (ANNs), Fuzzy Controllers (FCs), Particle Swarm Optimization (PSO) and Ant colony Optimization (ACO) are becoming omnipresent in almost every intelligent system design. Unfortunately, the application of the majority of these techniques is complex and so requires a huge computational effort to yield useful and practical results. Therefore, dedicated hardware for evolutionary, neural and fuzzy computation is a key issue for designers. With the spread of reconfigurable hardware such as FPGAs, digital as well as analog hardware implementations of such computation become cost-effective. The idea behind this book is to offer a variety of hardware designs for soft computing techniques that can be embedded in any final product. Also, to introduce the successful application of soft computing technique to solve many hard problem encountered during the design of embedded hardware designs. Reconfigurable embedded designs for GAs, ANNs, FCs and PSO are presented and evaluated. Also, the application of quantum-based evolutionary computation and multi-objective evolutionary computation as well as ACO are applied to solve hard problems related to circuit synthesis, IP assignment, mapping and routing of applications on Network-On-Chip infrastructures.

a Topical term or geographic name as entry element Engineering.

a Topical term or geographic name as entry element Computational Intelligence.

a Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).

a Topical term or geographic name as entry element Computer Graphics.

a Personal name Mourelle, Luiza de Macedo.

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-3-319-03110-1

c item type EBK

a descripción COM