Andere Kunden interessierten sich auch für
![Soft Computing and Human-Centered Machines]( "Soft Computing and Human-Centered Machines")
Soft Computing and Human-Centered Machines38,99 €![Soft Computing Methodologies for Bankruptcy Prediction]( "Soft Computing Methodologies for Bankruptcy Prediction")
Soft Computing Methodologies for Bankruptcy Prediction33,99 €![Soft Computing in Software Engineering]( "Soft Computing in Software Engineering")
Soft Computing in Software Engineering112,99 €![Artificial Intelligence and Soft Computing]( "Artificial Intelligence and Soft Computing")
Artificial Intelligence and Soft Computing76,99 €![Analysis of Multi-Source Data Streaming with Soft Computing]( "Analysis of Multi-Source Data Streaming with Soft Computing")
Analysis of Multi-Source Data Streaming with Soft Computing45,99 €![Forecasting of Stock Market Prices Using Soft Computing]( "Forecasting of Stock Market Prices Using Soft Computing")
Forecasting of Stock Market Prices Using Soft Computing24,99 €![Artificial Intelligence and Soft Computing]( "Artificial Intelligence and Soft Computing")
Artificial Intelligence and Soft Computing39,99 €
"Soft Computing" covers fuzzy logic, neural networks, and evolutionary algorithms in a complete introduction to the area. The book begins by charting computing from traditional AI to computational intelligence, preparing readers for soft computing. It teaches machine learning fundamentals. The book covers fuzzy logic, including fuzzy sets, relations, and inference systems. Readers learn about fuzzy logic in expert systems and decision-making through thorough discussions on membership functions and fuzzy reasoning. In the second section, the book covers neural network evolution, construction, and training techniques. Readers learn about neural network models and machine learning applications, from feedforward networks to adaptive resonance structures. Genetic algorithms, their biological origin, optimization methods, and comparison to classical algorithms are covered in the book's conclusion. Reading examples and case studies helps readers understand genetic algorithms and their applicability in difficult optimization issues. "Soft Computing" is a useful reference for students, academics, and practitioners investigating the wide field of soft computing.