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Amazing Some Applications of Soft Computing

Soft Computing's applications is based on some biological induced methods such as genetics, development, and behavior, the warm of particles, the human nervous system, etc.<br>

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Amazing Some Applications of Soft Computing

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  1. Applications of Soft Computing

  2. Applications Areas Actuarial Science Agricultural Engineering Computer Engineering Data Mining Environmental Engineering Fault Tolerance Image Processing Medical Diagnosis Pattern Recognition Process Control

  3. Actuarial Science The main objective of this actuarial science for applying the mathematical and statistical methods to examine risk in the insurance industry.

  4. Agricultural Engineering The agricultural engineering is applying the engineering science and technology to agricultural productivity and processing system.

  5. Computer Engineering Computer Engineering: In the computer engineering mostly use in software designing, hardware/ software integration, and more..

  6. 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.

  7. 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.

  8. Fault Tolerance Fault Tolerance : In this concept if some components have some problem then to enable the system for operating properly.

  9. 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.

  10. 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.

  11. 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.

  12. 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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