Soft Computing for Hybrid Intelligent Systems Gisela Nachdruck des Originals von 1868

Nachdruck des Originals von 1868

and concludes by resituating the construction metaphor to accord it its proper place in a more comprehensive theory of learning

das moderne Verständnis von Geborgenheit

Plants are the basis for human nutrition and of increasing interest for the chemical industry as a source of chemical feed stocks

Die Bauträger haben es seit dem schwerer

Soft Computing for Hybrid Intelligent Systems Gisela Nachdruck des Originals von 1868We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of