# Differences between Hard Computing and Soft Computing

**Hard Computing vs Soft Computing**: Here, we are going to learn **what are soft computing and hard computing?** After that, we will discuss the **key differences between hard computing and soft computing**.

Submitted by Monika Jha, on October 25, 2019

## What is Computing?

The process of accomplishing a particular task with the help of a computer or a computing device is known as computing. It should provide precise and accurate solutions, also it makes easy to find the mathematical solution of the problems.

### 1) Soft Computing

**Soft computing** deals with approximate models and gives solutions to complex real-world problems. **Soft computing** is an approach that gives an impression on the human mind to reason and learns in an environment of uncertainty and impression.

**Soft computing**deals with imprecision, uncertainty, partial truth and approximation to achieve close resemblance with human decisions.- The cost of the solution also very low in this kind of computing, it forms the basis of a considerable amount of machine learning techniques.
- It is used in handwriting recognition and data compression and image processing.

**Components of soft computing** are as follows:

Machine learning, neural network, fuzzy logic, perception, genetic algorithms, etc.

### 2) Hard Computing

Before soft computing, there is a traditional approach used in computing which needs an accurately stated analytical model proposed by Dr. Lotfi Zadeh.

- It does not work on the mathematical model of problem-solving.
**Hard computing**is suitable for mathematical problems, although it might be used to solve real-world problems, it consumes a large amount of computation time and cost. So, in this case, soft computing is a better alternative as compared to**hard computing**. - Applications of
**hard computing**are mobile robot coordination and forecasting combinational problems. - If we want to solve the deterministic problems, we can use a
**hard computing**approach. As the problem grows in size and complexity, the design search space also increases.

## Differences between Soft computing and Hard computing

- Hard computing is very accurate and certain whereas the soft computing model is imprecision tolerant and works on partial truth and approximation.
- Hard computing is based on a crisp system and binary logic and soft computing are based on fuzzy logic and probabilistic reasoning.
- Hard computing works on exact input data. On the contrary soft computing works on noisy and ambiguous data.
- Hard computing performs sequential computations while soft computing performs parallel computations on the data.
- Hard computing provides accurate results. On the other hand, soft computing provides approximate results.
- The nature of the hard computing approach is deterministic whereas soft computing is probabilistic.
- Hard computing uses two-valued logic, on the other hand, soft computing uses multi-valued logic.
- Hard computing requires programs to be written but soft computing will emerge its programs.

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