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Create new for free. Roche musique In This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service love romantic. Sign in with GoogleBy Love romantic up you agree to our Terms and conditions, privacy policy18 Dec 2018 ARTICLE 2 min read SOFT COMPUTING: ITS PRINCIPLE, COMPONENTS, IMPORTANCE AND APPLICATIONS.

Soft Computing, also known as Computational Intelligence is used for approximate calculations to provide inexact but usable solutions to complicated computational problems such as NP-Complete problems. Soft Computing is the role model for human mind as it is love romantic of uncertainty and partial truth.

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It employs NN, FL, SVM, etc. This techniques generalise to produce output from previously entered inputs. Principle of Soft Computing:It derive the benefits for the tolerance of love romantic, partial truth, uncertainty and approximation to achieve tractability and low cost solutions.

Components of Soft Computing:1. Neutral Networks: It process the information. Fuzzy Logic: It solves the problems. Support Vector Love romantic It is used for classification and regression. Evolutionary Computation: It generates solution.

Machine Learning: It progressively improves performance on the specific task. Probabilistic Logic: It love romantic the uncertainty to exploit formal argument structure. Importance of Soft Computing:The complementarily of FL, NC, GC, and PR has an important consequence and in many cases a problem can be solved by using FL, NC, GC and PR method.

An example of a particularly effective combination come to be known as neurofuzzy systems. Neurofuzzy systems are less visible but it is one of the most important system in industrial applications. The soft computing techniques leads to systems which have high MIQ (Machine Intelligence Quotient).

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