Introduction to Soft Computing by Eva Volna

intro-soft-computingThe book is structured conceptually to include four main parts physically organized into chapters. Chapter 1 is an introduction to soft computing providing a brief history about its origins and what it may cover. It was concluded that an exact notion of soft computing has not been defined yet as it is still an area newly shaping up. Therefore, an introduction to the basic soft computing as proposed by its inventor, Dr. Lotfi Zadeh, is given. The other fields that constitute the area of soft computing are fuzzy computing, evolutionary computing, artificial neural networks, and probabilistic computing. Chapter 2 starts with an introduction to fuzzy sets and fuzzy control applications. Chapter 3 covers the components of evolutionary computing with the most common evolutionary computing technique, namely genetic algorithms, genetic programming and differential evolution. Chapter 4 is an introduction to the field of artificial neural networks.

 

The basic models are described here, e.g. the perceptron, the multilayer network, the Kohonen self-organizing map and the Hopfield networks. Chapter 5 introduces the probabilistic computing in short. In this book the readers will read What does soft computing mean? Definition of soft computing, Conception of soft computing, Importance of soft computing, The soft computing – development history, Fuzzy computing, Fuzzy sets, Fuzzy control, Evolutionary computing, Evolutionary algorithms, Genetic algorithms, Genetic programming, Differential evolution, Neural computing, The brain as an information processing system, Introduction to neural networks, The perceptron, Multilayer networks, Kohonen self-organizing maps, Hopfield networks, Probabilistic Computation and much more.

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