## What is the importance of soft computing?

Soft computing is an important branch of computational intelligence, where fuzzy logic, probability theory, neural networks, and genetic algorithms are synergistically used to mimic the reasoning and decision making of a human.

### What is soft computing and describe the technologies of soft computing?

Soft computing, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Soft computing is based on techniques such as fuzzy logic, genetic algorithms, artificial neural networks, machine learning, and expert systems.

#### What is soft computing what are its major components technologies?

Components of soft computing include machine learning, fuzzy logic, evolutionary computation, and probabilistic theory. These components have the cognitive ability to learn effectively. They deal with imprecision and good tolerance of uncertainty.

**What role does soft computing play in everyday life?**

Soft Computing techniques are used by various medical applications such as Medical Image Registration Using Genetic Algorithm, Machine Learning techniques to solve prognostic problems in medical domain, Artificial Neural Networks in diagnosing cancer and Fuzzy Logic in various diseases [15].

**What are the applications of soft computing?**

Let’s take a look at some of the applications of soft computing across different industries-

- Handwritten Script Recognition.
- Image Processing and Data Compression.
- Automotive Systems and Manufacturing.
- Soft computing based Architecture.
- Decision Support System.
- Power System Analysis.
- Bioinformatics.
- Investment and Trading.

## What are the advantages and disadvantages of soft computing?

While soft computing is tolerant of imprecision and uncertainty, hard computing requires precise state analytical model. Soft computing uses approximation, while hard computing needs precision. Soft-computing algorithms are capable of improving themselves and are self-evolving.

### What is the importance of soft computing techniques in civil engineering?

In the past two decades, soft computing methods are becoming an important class of efficient tools for developing intelligent systems and providing solutions to complicated engineering problems.

#### What is meant by soft computing?

Soft computing is defined as a group of computational techniques based on artificial intelligence (human like decision) and natural selection that provides quick and cost effective solution to very complex problems for which analytical (hard computing) formulations do not exist.

**Where is soft computing used?**

**What are characteristics of soft computing?**

Soft computing is an approach where we compute solutions to the existing complex problems, where output results are imprecise or fuzzy in nature, one of the most important features of soft computing is it should be adaptive so that any change in environment does not affect the present process.

## What is characteristics of soft computing?

### What is soft computing and why is it important?

The approach enables solutions for problems that may be either unsolvable or just too time-consuming to solve with current hardware. Soft computing is sometimes referred to as computational intelligence. Soft computing provides an approach to problem-solving using means other than computers.

#### What is soft computing and computational intelligence?

Soft Computing is a new multidisciplinary field, to construct new generation of Artificial Intelligence, known as Computational Intelligence. • The main goal of Soft Computing is to develop intelligent machines to provide solutions to real world problems, which are not modeled, or too difficult to model mathematically.

**What is the difference between hard computing and soft computing?**

Hard computing is used for solving mathematical problems that need a precise answer. It fails to provide solutions for some real-life problems. Thereby for real-life problems whose precise solution does not exist, soft computing helps. When conventional mathematical and analytical models fail, soft computing helps, e.g.,

**Who coined the term soft computing?**

Zadehcoined the term of soft computing in 1992. The objective of soft computing is to provide precise approximation and quick solutions for complex real-life problems. In simple terms, you can understand soft computing – an emerging approach that gives the amazing ability of the human mind.