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Title: applications of soft computing in medical image analysis ppt
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Title: Artificial Intelligence and Soft Computing
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Artificial Intelligence and Soft Computing


1. About the book
The book covers 24 chapters altogether. It starts with the behavioral
perspective of the ‘human cognition’ and covers in detail the tools and
techniques required for its intelligent realization on machines. The classical
chapters on search, symbolic logic, planning and machine learning have been
covered in sufficient details, including the latest research in the subject. The
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Title: Soft computing
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Title: APPLICATION OF SOFT COMPUTING TECHNIQUES TO RADAR PULSE COMPRESSION
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Prepared by:
NISHANT PANIGRAHI
SUDEEP TRIPATHY

Under the guidance of
Prof. Ajit Kumar Sahoo


Abstract

Soft Computing is a term associated with fields characterized by the use of inexact solutions to computationally-hard tasks for which an exact solution cannot be derived in polynomial time. Almost contrary to conventional (Hard) computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low solution cost. Effectively, it r ....etc

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Title: Design and implementation of a classification system based on soft computing
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Mini Project Report
Design and implementation of a classification system based on soft computing and statistical approaches
Submitted By:
Ashish Kumar Agrawal(2001114)
Abstract:
This project, being developed as a part of MHRD research project (Designing an Intelligent Robot for Explosive Detection and Decontamination funded by MHRD, Govt. of India), explores the design and development of classifier based on statistical methods and soft computing based approaches which is capable of identifying the mines and no ....etc

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Title: Soft Computing
Page Link: Soft Computing -
Posted By: seminar surveyer
Created at: Saturday 02nd of October 2010 05:33:48 PM
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Introduction
The basic ideas underlying soft computing in its current incarnation have links to many earlier influences, among them Prof. Zadeh’s 1965 paper on fuzzy sets; the 1973 paper on the analysis of complex systems and decision processes; and the 1979 report (1981 paper) on possibility theory and soft data analysis.

The principal constituents of soft computing (SC) are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming belief networks, evolutionary ....etc

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Title: soft computing techniques
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