What are the goals of soft computing?
Main Goal of Soft Computing is to develop intelligent machines to provide solutions of real-world problems, which are not modeled or difficult to model mathematically.
What are the advantages of using soft 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.
What are the features 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 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 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.
What is core of soft computing?
Core of soft Computing is. Fuzzy Computing, Neural Computing, Genetic Algorithms. Fuzzy Networks and Artificial Intelligence. Artificial Intelligence and Neural Science. Neural Science and Genetic Science.
What is soft computing and its importance?
Soft computing is the use of approximate calculations to provide imprecise but usable solutions to complex computational problems. The approach enables solutions for problems that may be either unsolvable or just too time-consuming to solve with current hardware.
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 computing in 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.
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 the aim of soft computing list and discuss all of them?
Soft computing is an emerging collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty, and partial truth to achieve robustness, tractability and total low cost. Soft computing methodologies have been advantageous in many applications.
What are the soft computing techniques?
Soft computing is based on techniques such as fuzzy logic, genetic algorithms, artificial neural networks, machine learning, and expert systems.