What are the topics in soft computing?
Basic constituents of “Soft Computing” include Fuzzy Logic , Neural computing, Evolutionary computation, Machine learning and probabilistic reasong etc.
What we study in 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.
Who indicated the idea of soft computing?
Let us cite the definition of soft computing given by Professor Lotfi A. Zadeh, the father of fuzzy logic [18]: Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty and partial truth.
Who invented Soft Computing?
Lofti A. Zadeh
❖Term Soft Computing was coined by inventor of fuzzy logic Lofti A. Zadeh. aim to exploit the tolerance of imprecision & uncertainty to achieve tractability, robustness & low cost soln. Its principal constituents are fuzzy logic, neuro computing & probabilistic reasoning.
Why it is called soft computing?
The concept of soft computing is based on learning from experimental data. It means that soft computing does not require any mathematical model to solve the problem. Soft computing helps users to solve real-world problems by providing approximate results that conventional and analytical models cannot solve.
Why Soft Computing is used?
Soft computing helps users to solve real-world problems by providing approximate results that conventional and analytical models cannot solve. It is based on Fuzzy logic, genetic algorithms, machine learning, ANN, and expert systems.
Why is soft computing important?
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.
Why is soft computing important in the world?
It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems.
How is soft computing related to computational intelligence?
Computational Intelligence (Soft Computing) is a new concept for advanced information processing. The objective of CI approaches is to realize a new approach for analyzing and create flexible information processing of humans such as sensing, understanding, learning, recognizing and thinking.
Why was the Berkeley Initiative in Soft Computing launched?
Ten years later, in 1991, the Berkeley Initiative in Soft Computing (BISC) was launched. This initiative was motivated by the fact that in science, as in other realms, there is a tendency to be nationalistic—to commit oneself to a particular methodology and employ it as if it were a universal tool.
Which is the best presentation topic for Information Technology?
Alphabetical List of IT Presentation Topics Artificial Neural Network (ANN). An Identity Based Eco-System. Free Space Laser Communications. Cellular Through Remote Control Switch. Breaking the Memory Wall in MonetDB. Buffer overflow attack : A potential problem and its Implications. Biometrics