What do you understand by soft computing explain difference between soft computing and hard computing?

Soft computing employs fuzzy logic and probabilistic reasoning while hard computing is based on binary or crisp systems. Hard computing has features such as precision and categoricity. … Soft computing can be easily operated on the noisy and ambiguous data. In contrast, hard computing can work only on exact input data.

What is the example of hard computing?

Hard Computing

Examples of conventional algorithms are merge sort, quick sort, binary search, greedy algorithm, dynamic programming etc which are deterministic.

What is meant by hard computing?

Hard computing is your traditional computing algorithm, as anyone thinks of it. … Algorithms that process functions and data with a verifiable output, are considered conventional computing algorithms. The analytic models of these algorithms are precise, as these require perfect knowledge.

What type of model is required for hard computing?

Hard computing, i.e., conventional computing, requires a precisely stated analytical model and often a lot of computation time. Many analytical models are valid for ideal cases.

What is soft computing example?

In most used home appliances – Washing Machine, Heater, Refrigerator, and AC as well. Apart from all these usages, it is also used in Robotics work (Emotional per Robot form). Image processing and Data compression are also popular applications of soft computing. Used for handwriting recognition.

What do you mean by soft computing?

Soft computing is the use of approximate calculations to provide imprecise but usable solutions to complex computational problems. … Soft computing is sometimes referred to as computational intelligence. Soft computing provides an approach to problem-solving using means other than computers.

Why is it called soft computing?

The term soft computing was coined by Zadeh [Zadeh, 1992]. Soft computing aims at finding precise approximation, which gives a robust, computationally efficient and cost effective solution saving the computational time.

What is the advantage of soft computing over hard computing?

The applications of soft computing approach have proved two main advantages:(1) it made solving nonlinear problems, in which mathematical models are not available, possible and (2) it introduced the human knowledge such as cognition, recognition, understanding, learning, and others into the fields of computing.

Where is hard computing used?

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.

What is the difference between soft computing and machine learning?

Artificial Intelligence is the art and science of developing intelligent machines. … Soft Computing aims to exploit tolerance for uncertainty, imprecision, and partial truth.

Why do we use 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. … Approaches that are useful in the development of an intelligent machine are introduced.

Where is soft computing used?

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 the difference between AI and CI?

To put put it bluntly, Artificial intelligence (AI) relies on machines, whereas Collective Intelligence (CI) relies on people. AI stands for the simulation of human intelligence by machines, computers or software systems.

What are the 2 types of learning Mcq?

  • learning without computers.
  • problem based learning.
  • learning from environment.
  • learning from teachers.

What is expert system in Soft Computing?

In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert. … Expert systems were among the first truly successful forms of artificial intelligence (AI) software. An expert system is divided into two subsystems: the inference engine and the knowledge base.

What is swarm intelligence in soft computing?

Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment.

What is CI AI?

Computational Intelligence (CI) is the theory, design, application and development of biologically and linguistically motivated computational paradigms. … Nowadays, deep learning has become the core method for artificial intelligence. In fact, some of the most successful AI systems are based on CI.

Who is the father of AI?

John McCarthy
Abstract: If John McCarthy, the father of AI, were to coin a new phrase for “artificial intelligence” today, he would probably use “computational intelligence.” McCarthy is not just the father of AI, he is also the inventor of the Lisp (list processing) language.

Is chatbot an expert system?

This particular expert system is an example of a certain type of AI called a ‘Chatbot’; a computer program or an artificial intelligence which conducts a conversation via auditory or textual methods.