"machine Boltzmann." . . "Ordinateurs Architecture." . . "Architektura komputerów." . . "Neural networks (Computer science)." . . "optimisation." . . "réseau neuronal." . . "Réseau neuronal (Informatique)" . . "Computer architecture." . . "Sieci neuronowe (informatyka)." . . "Reti neurali." . . . . "Neurale netwerken." . . "Réseaux neuronaux (Informatique)" . . "Réseaux neuronaux (informatique)" . "Neuronales Netz 0 Gesamtdarstellung." . . "Inteligencia Artificial." . . "Architecture des ordinateurs." . . . . "Artificial neural networks : an introduction to ANN theory and practice" . "Artificial neural networks : an introduction to ANN theory and practice"@en . "Artificial neural networks an introduction to ANN theory and practice"@en . "Artificial neural networks an introduction to ANN theory and practice" . "This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium. The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM."@en . . . "Artificial neural networks : An introduction to ANN theory and practice" . . . . . . . "Electronic books"@en . . . "Electronic resources (Books)" . . . . . "Aufsatzsammlung" . . . . . . . . . . . . . . . . . . . . . . . . "Artificial neural networks : an introduction to ann theory and practice"@en . "\"This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium. The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM.\"--PUBLISHER'S WEBSITE." . . . . . . . "intelligence artificielle réseau neuronal." . . "Neuronales Netz." . .