Stefan Schadwinkel (7 results)

Softcover. Condition: Very Good. 109pp; Front cover slightly curled, text unmarked, binding is tight, VG condition. Unfolds a non-dualistic world view, of unity, and then applies it to topical scientific and philosophical issues including time, the brain and its neurons, chaos, and order.

Condition: New.

Taschenbuch. Condition: Neu. An Approach to Combine Artificial Immune Systems and Neural Networks | A Dynamic Artificial Immune System Based on the Self-Organizing Map | Stefan Schadwinkel | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783836453615 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Paperback. Condition: Brand New. 176 pages. 8.67x5.90x0.40 inches. In Stock.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computational Intelligence aims at creating problem-solving strategies which are inspired by biological systems. From this approach emerged artificial neural networks, genetic algorithms and recently artificial immune systems. Comparing artificial immune systems and genetic algorithms, close computational similarities can be found. Furthermore, research showed the biological nervous and endocrine systems to be so intertwined that science now speaks of one single system, the neuroendocrine system. From this perspective, the question emerges whether the interrelations between the nervous, endocrine and immune system can yield new or more general computational systems that can be used for problem-solving as well. In the present work, an approach to combine artificial neural networks and artificial immune systems is introduced together with a biological foundation of the computational processes shared by both paradigms. On that basis, an artificial immune system that rests upon the self-organizing map is implemented and demonstrated by simulations.; Computational Intelligence aims at creating problem-solving strategies which areinspired by biological systems. From this approach emerged artificial neural networks, genetic algorithms and recently artificial immune systems.Comparing artificial immune systems and genetic algorithms, close computational similarities can be found. Furthermore, research showed the biological nervous and endocrine systems to be so intertwined that science now speaks of one single system, the neuroendocrine system.From this perspective, the question emerges whether the interrelations between the nervous, endocrine and immune system can yield new or more general computational systems that can be used for problem-solving as well.In the present work, an approach to combine artificial neural networks and artificialimmune systems is introduced together with a biological foundation of thecomputational processes shared by both paradigms. On that basis, an artificialimmune system that rests upon the self-organizing map is implemented anddemonstrated by simulations.…

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.