Amazing Some Applications of Soft Computing

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Applications of Soft Computing
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Applications Areas

1. Actuarial Science
2. Agricultural Engineering
3. Computer Engineering
4. Data Mining
5. Environmental Engineering
6. Fault Tolerance
7. Image Processing
8. Medical Diagnosis
9. Pattern Recognition
10. Process Control

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Actuarial Science
The main objective of this actuarial science for
applying the mathematical and statistical
methods to examine risk in the insurance industry.
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Agricultural Engineering
The agricultural engineering is applying the
engineering science and technology to
agricultural productivity and processing system.
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Computer Engineering
Computer Engineering In the computer engineering
mostly use in software designing, hardware/
software integration, and more..
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Data Mining
Data mining is a part of computer science in
which use the computational process of
discovering patterns in large data sets involving
methods at the intersection of artificial
intelligence.
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Environmental Engineering
Environmental Engineering is most effective Soft
Computing Application. It is the integration of
science and engineering principles to improve the
natural environment such as air, water, and / or
land resources, to provide healthy water, air and
land such as home or home and other human
habitats , And therapeutic pollution site.
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Fault Tolerance
Fault Tolerance In this concept if some
components have some problem then to enable the
system for operating properly.
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Image Processing
Image processing is an signal processing for
giving the input as image such as video frame,
and yielding output as the set of characteristics
otherwise their parameters.
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Medical Diagnosis
Medical Diagnosis In the medical areas to
examine the any difficult disease. With the help
of statistics the diagnostic procedure involves
classification tests.
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Pattern Recognition
Pattern Recognition In this concept to provide
the best answers for all input and perform the
matching the input with their statistical
variation.
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Process Control
Process control is a statistical and engineering
discipline that relates to architecture, system
and algorithms to maintain the production of a
specific process within a desired range. .
Enables process control automation, with which a
small employee of the operations personnel can
operate a complex process from the central
control panel.
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