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Difference Between Soft Computing and Hard Computing

Difference Between Soft Computing and Hard Computing:

1. Hard computing is best for solving the mathematical problems which don’t solve the problems of the real world.

Soft computing is better used in solving real-world problems as it is stochastic in nature i.e., it is a randomly defined process that can be analyzed statistically but not with precision.

2. Hard computing relies on binary logic and predefined instructions like a numerical analysis and brisk software and uses two-valued logic.

Soft computing is based on the model of the human mind where it has probabilistic reasoning, fuzzy logic, and uses multivalued logic.

3. Hard computing needs exact input of the data and is sequential; on the other hand, Soft computing can handle an abundance of data and handles multiple computations which might not be exact in a parallel way.

4. Hard computing takes a lot of time to complete tasks and is costly while soft computing tolerance of uncertainty and imprecision is estimated to achieve Machine Intelligence Quotient (MIQ) and lower cost. It also provides better communication.

5. Hard computing is best suited for solving mathematical problems which give some precise answers.

Soft computing resolves the nonlinear issues that involve uncertainty and impreciseness as it has human-like intelligence that can resolve the real-life issue.

6. Hard computing takes a lot of time in computing as it requires the stated analytical model and the model soft computing is based on is that of human intelligence.

Anurag

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