Why soft computing is particularly useful in representing and reasoning with human oriented knowledge?
Answers
Answer:
The answer to the given question is explained in the explanation.
Explanation:
Hard (conventional) computing is the opposite of soft computing. It refers to a collection of computation-based methods built on natural selection and artificial intelligence (AI). It offers affordable answers to difficult real-world issues for which there is no hard computing solution.
A developing method called soft computing allows for the incredible power of the human mind. It has the ability to map the human mind, and soft computing takes its cues from the human mind.
Soft computing is founded on the idea of learning from experimental data. It implies that soft computing can solve a problem without using a mathematical model.
Soft computing offers approximations to answers that traditional and analytical models are unable to provide, assisting users in finding solutions to real-world issues.
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Answer:
Details about soft computing is as follows :
Explanation:
Soft computing :
- Soft computing is based in Artificial Intelligence.
- It provides affordable solutions to the real life problems that needs to be solved.
- The term soft computing emerged in the year 1992.
- The main objective of soft computing is to provide precise solutions for complex real life problems.
- In other words, we can also say that soft computing is a mini version of device working as human brain.
- Soft computing has adaptive algorithms, so it has no effect of change in environment.
- Soft computing is based on leaning from experimental data, so it does not require any mathematical module to solve problems.
- Soft computing is based on machine learning, fuzzy logics, algorithms, etc.
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