Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps (SOM).
Cosmological History, Solar System, Inside and Outside Composition of Earth Planet, Science and History of Earth Materials, Geological Materials Engineering, "Physics Philosophy" , Energy Challenges and New Materials, Methods & Technologies for Society (Current and Future) and Environmental Consciousness for that everything be rational. Everything in good company, of the very: Rock'in Roll, Blues, Jazz, Classical, and Brazilian music of high quality.
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