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 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.

What are 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 characteristics of Soft Computing?

The following are the characteristics of soft computing.

• It does not require any mathematical modeling for solving any given problem.
• It gives different solutions when we solve a problem of one input from time to time.

What is soft computing explain it is different from hard computing and its application or discuss problem solving techniques?

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.

What is soft computing Wiki?

Soft computing is a set of algorithms, including neural networks, fuzzy logic, and genetic algorithms. These algorithms are tolerant of imprecision, uncertainty, partial truth and approximation. It is contrasted with hard computing: algorithms which finds provably correct and optimal solutions to problems.

What are characteristics of soft computing?

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 are the main techniques of soft computing?

Soft computing is based on techniques such as fuzzy logic, genetic algorithms, artificial neural networks, machine learning, and expert systems.

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

Soft Computing relies on formal logic and probabilistic reasoning. Hard computing relies on binary logic and crisp system. Soft computing has the features of approximation and dispositionality. Hard computing has the features of exactitude(precision) and categoricity.

Why soft computing is more useful than 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.

What are the various types of soft computing techniques?

There are three types of soft computing techniques which include the following.

• Artificial Neural Network.
• Fuzzy Logic.
• Genetic algorithm.