What is soft computing and what are its applications?

Soft computing is the reverse of hard (conventional) computing. It refers to a group of computational techniques that are based on artificial intelligence (AI) and natural selection. It provides cost-effective solutions to the complex real-life problems for which hard computing solution does not exist.

What is soft computing?

Soft computing is the use of approximate calculations to provide imprecise but usable solutions to complex computational problems. The tolerance of soft computing allows researchers to approach some problems that traditional computing can’t process. Soft computing uses component fields of study in: Fuzzy logic.

Where soft computing is used in real time?

Aerospace industry (aircrafts and air traffic, space crafts), communications systems (date communications and communication networks), consumer appliances (cooling and heating, washing and food preparation), electric power systems (control and monitoring, operations, planning), manufacturing automation and robotics ( …

What is soft computing discuss different techniques used in soft computing its applications?

Soft computing is based on techniques such as fuzzy logic, genetic algorithms, artificial neural networks, machine learning, and expert systems. The techniques of soft computing are nowadays being used successfully in many domestic, commercial, and industrial applications.

What is soft computing example?

In soft computing, you can consider an example where you can see the evolution changes for a specific species like the human nervous system and behavior of an Ant’s, etc. Learning from experimental data.

Is soft computing useful?

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. Approaches that are useful in the development of an intelligent machine are introduced.

What are soft computing techniques explain each with real life example?

Application of Soft Computing: Consumer appliance like AC, Refrigerator, Heaters, Washing machine. Robotic works in the form of Emotional Pet robots. Food preparation devices are Microwave and Rice cookers. For amusing gaming playing product like Checker and Poker etc.

What is soft computing real life example?

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 soft computing and hard computing?

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

What are the examples of soft computing?

Application of Soft Computing:

• Consumer appliance like AC, Refrigerator, Heaters, Washing machine.
• Robotic works in the form of Emotional Pet robots.
• Food preparation devices are Microwave and Rice cookers.
• For amusing gaming playing product like Checker and Poker etc.
• Recognition for Handwriting.

What is soft computing and how does it work?

Soft computing provides an approximate but precise solution for real-life problems. The algorithms of soft computing are adaptive, so the current process is not affected by any kind of change in the environment. The concept of soft computing is based on learning from experimental data.

What is the role model for soft computing?

• Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation. In effect, the role model for soft computing is the human mind.

Which of the following are supplements of soft computing?

Fuzzy Logic (FL), Machine Learning (ML), Neural Network (NN), Probabilistic Reasoning (PR), and Evolutionary Computation (EC) are the supplements of soft computing. Also, these are techniques used by soft computing to resolve any complex problem.

What is soft computing in bioinformatics?

Soft Computing Techniques in Bioinformatics The techniques of soft computing help in modifying any uncertainty and indifference that biometrics data may have. Soft computing is a technique that provides distinct low-cost solutions with the help of algorithms, databases, Fuzzy Sets (FSs), and Artificial Neural Networks (ANNs).