Logo

Introduction to Soft Computing

Small book cover: Introduction to Soft Computing

Introduction to Soft Computing
by

Publisher: Bookboon
ISBN-13: 9788740303919
Number of pages: 137

Description:
This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making. Soft Computing is a new multidisciplinary field, to construct new generation of Artificial Intelligence, known as Computational Intelligence.

Home page url

Download or read it online for free here:
Download link
(11MB, PDF)

Similar books

Book cover: Handbook of Knowledge RepresentationHandbook of Knowledge Representation
by - Elsevier Science
Knowledge Representation is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation.
(8087 views)
Book cover: Introduction to High-Performance Scientific ComputingIntroduction to High-Performance Scientific Computing
by - University of Texas
A computational scientist needs knowledge of several aspects of numerical analysis and discrete mathematics. This text covers: computer architecture, parallel computers, machine arithmetic, numerical linear algebra, applications.
(9680 views)
Book cover: Computer Science Introduction to Wolfram MathematicaComputer Science Introduction to Wolfram Mathematica
by - Ryerson University
The book is an introduction to Wolfram Mathematica written in computer science spirit, using this language not just for mathematics and equation solving but for all sorts of computer science examples and problems from the standard CS101 exercises...
(4289 views)
Book cover: Building Blocks for Theoretical Computer ScienceBuilding Blocks for Theoretical Computer Science
by - University of Illinois, Urbana-Champaign
This book provides a survey of basic mathematical objects, notation, and techniques useful in later computer science courses. It gives a brief introduction to some key topics: algorithm analysis and complexity, automata theory, and computability.
(7634 views)