Last edited by Yotaur
Monday, May 18, 2020 | History

1 edition of Soft Computing Techniques in Vision Science found in the catalog.

Soft Computing Techniques in Vision Science

by Srikanta Patnaik

  • 74 Want to read
  • 15 Currently reading

Published by Springer Berlin Heidelberg in Berlin, Heidelberg .
Written in English

    Subjects:
  • Image Processing and Computer Vision,
  • Engineering,
  • Computer vision,
  • Computational intelligence

  • Edition Notes

    Statementedited by Srikanta Patnaik, Yeon-Mo Yang
    SeriesStudies in Computational Intelligence -- 395
    ContributionsYang, Yeon-Mo, SpringerLink (Online service)
    The Physical Object
    Format[electronic resource] /
    ID Numbers
    Open LibraryOL27088055M
    ISBN 109783642255076

      Soft Computing Seminar and PPT with pdf report: As we know, there are more intricate concepts are coming in the field of biology, medicines and in management these intricate fields persisted untraceable to conventional mathematics and analytical methods. Soft computing Techniques. Soft Computing is a term used in computer science to refer the problem in computer science whose solution is not predictable, uncertain and between 0 and 1. Soft computing deals with imprecision, uncertainty, partial truth, and approximation to achieve practicability, robustness and low solution cost.

    This book provides a comprehensive coverage of the fundamental concepts and techniques in Artificial Intelligence and Soft Computing with mathematical in depth explanation. The main emphasis is on the solution of real world problems using the latest AI techniques.   Artificial Intelligence and Soft Computing for Beginners by Anindita Das: The course of Artificial Intelligence is taken by all engineering undergraduate and postgraduate students pursuing computer science. Apart from this, it is a popular electiv.

    This book contains an edited collection of eighteen contributions on soft and hard computing techniques and their applications to autonomous robotic systems. Each contribution has .   This thesis discusses visual programming languages, representation of uncertainty in geographical data and a combination of genetic programming and optimization. A new visual programming language is described, based on a novel version of the dataflow paradigm. In this version, cyclic graphs are replaced with nested graphs, which also have other uses.


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Soft Computing Techniques in Vision Science by Srikanta Patnaik Download PDF EPUB FB2

Soft Computing Techniques in Vision Science (Studies in Computational Intelligence) [Patnaik, Srikanta, Yang, Yeon-Mo] on *FREE* shipping on qualifying offers. Soft Computing Techniques in Vision Science (Studies in Computational Intelligence)Format: Paperback.

Introduction. This Special Edited Volume is a unique approach towards Computational solution for the upcoming field of study called Vision Science. From a scientific firmament Optics, Ophthalmology, and Optical Science has surpassed an Odyssey of optimizing configurations of Optical systems, Surveillance Cameras and other Nano optical devices with the metaphor of Nano Science and Technology.

Latest research on Soft Computing Techniques in Vision Science Presents basic research extending to Visual Perception and Visual system, Cognitive Psychology, Neuroscience, Psychophysics and Ophthalmology, Linguistic Relativity, Color Vision etc. Soft Computing Soft Computing Techniques in Vision Science book --Review of Soft Computing Methods for Microwave and Millimeter-Wave Design --Design of Microwave Filters Using Modified PSO --Design of Microstrip Antennas and Other Components --Design of a Nonlinear Taper Using SI Based Algorithms --Multiobjective Optimizations for the Design of RF Windows.

springer, This Special Edited Volume is a unique approach towards Computational solution for the upcoming field of study called Vision Science. From a scientific firmament Optics, Ophthalmology, and Optical Science has surpassed an Odyssey of optimizing configurations of Optical systems, Surveillance Cameras and other Nano optical devices with the metaphor of Nano Science and Technology.

Covering the latest research on soft computing techniques in the emerging field of vision science, this publication features contributions from leading experts and covers a range of topics including frequent pattern mining and 4D stereo camera systems.

Soft Computing Techniques in Vision Science Covering the latest research on Soft computing techniques in the emerging field of vision science, this publication features contributions from leading experts and covers a range of topics including frequent pattern mining and 4D stereo camera systems.

Intuitive consciousness/ wisdom is also one of the frontline areas in soft computing, which has to be always cultivated by meditation. This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA and it is hoped that it would be quite useful to study the fundamental concepts on these topics for the pursuit of allied research.4/5(2).

P REF ACE. Soft computing (SC), is an innovative approach to computing which parallels the remarkable ability. of the human mind to reason and learn in an environment of uncertainty and. Soft Computing is dedicated to system solutions based on soft computing techniques.

It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems.

The subject is being called soft computing and computational intelligence. With acceptance of the research fundamentals in these important areas, the field is expanding into direct applications through engineering and systems science. This book cover the fundamentals of this emerging filed, as well as direct applications and case studies.

(ebook) Soft Computing Techniques in Vision Science () from Dymocks online store. This Special Edited Volume is a unique approach towards. Australia’s leading bookseller for years.

Soft Computing course 42 hours, lecture notes, slides in pdf format; Topics: Introduction, Neural network, Back propagation network, Associative memory, Adaptive resonance theory, Fuzzy set theory, Fuzzy systems, Genetic algorithms, Hybrid systems.

Soft Computing: Course content, Lecture note, slides, text books, references. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory.

This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of : Hardcover. Buy Soft Computing Techniques in Vision Science by Srikanta Patnaik, Yeon-Mo Yang from Waterstones today.

Click and Collect from your Book Edition: Ed. Soft computing is an emerging approach to computing which parallel the remarkable ability of the human mind to reason and learn in an environment of uncertainty and imprecision.

Soft computing is based on some biological inspired methodologies such as genetics, evolution, ant’s behaviors, particles swarming, human nervous systems, etc.

Soft computing is based on techniques such as fuzzy logic, genetic algorithms, artificial neural networks, machine learning, and expert systems. Although soft computing theory and techniques were first introduced in s, it has now become a major research and study area in Missing: Vision Science.

Some of the soft computing techniques are evolutionary computation, neural networks, particle swarm optimization, ant colony optimization, and fuzzy computing. This chapter talks about specific applications where the techniques mentioned above have been by: 6.

In general, soft computing methods similar to biological processes very closely than traditional techniques, which are mostly based on formal logical systems, such as sentential logic and predicate.

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 g: Vision Science.

Soft computing aims at using tricks or shortcuts that do not provide optimal solutions but useful approximations that can be computed at a reasonable cost.

Such approximations often come in the form of heuristics and “rules of thumb.” Computer vision relies heavily on heuristics, being a simple exam.Computer Science from the Bottom Up: a free, online book designed to teach computer science from the bottom end up.

Topics covered include binary and binary logic, operating systems internals, toolchain fundamentals and system library fundamentals.

( views) Modern Information Systems by Christos Kalloniatis - InTech, LECTURE NOTES ON SOFT COMPUTING SUBJECT CODE: BCS SOFT COMPUTING () MODULE-I (10 HOURS) Introduction to Neuro, Fuzzy and Soft Computing, Fuzzy Sets: Basic Definition and Terminology, Set-theoretic Operations, Member Function Formulation and .