Soft Computing is a branch of artificial intelligence that focuses on the design of intelligent systems capable of solving complex, imprecise or ambiguous problems. Unlike traditional approaches to artificial intelligence, which are based on logic and computational theory, Soft Computing uses techniques inspired by biology, psychology and other sciences related to human and animal behavior.
The most common techniques used in Soft Computing include artificial neural networks, fuzzy systems, genetic algorithms, swarm optimization and artificial immune systems. These techniques are often used in combination to solve complex problems that are difficult to solve with a single approach.
Soft Computing is used in a wide variety of applications, such as industrial process control, route planning, decision making in uncertain environments, pattern recognition, image classification and natural language processing. Its flexible and adaptable approach makes it a very useful tool in solving real-world problems.
GAMCO's forecasts point to an increase of at least 10% in the percentage of "non-performing loans" to individuals over the next five years.
Read More »You now have everything you need to get down to work and start working with your company's data. After overcoming the first few hurdles of the [...]
Read More »Natural Language Processing or NLP analyzes how machines understand, interpret and process human language.
Read More »As e-commerce continues to grow at a dizzying pace, fraudsters are also finding new and sophisticated ways to exploit the potential [...]
Read More »
