Neural Networks: An Introduction
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1990
|
| Schriftenreihe: | Physics of Neural Networks
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | The mysteries of the human mind have fascinated scientists and philosophers alike for centuries. Descartes identified our ability to think as the foundation stone of ontological philosophy. Others have taken the human mind as evidence of the existence of supernatural powers, or even of God. Serious scientific in vestigation, which began about half a century ago, has partially answered some of the simpler questions (such as how the brain processes visual information), but has barely touched upon the deeper ones concerned with the nature of consciousness and the possible existence of mental features transcending the biological substance of the brain, often encapsulated in the concept "soul". Besides the physiological and philosophical approaches to these questions, so impressively presented and contrasted in the recent book by Popper and Ec cles [P077), studies of formal networks composed of binary-valued information processing units, highly abstracted versions of biological neurons, either by mathematical analysis or by computer simulation, have emerged as a third route towards a better understanding of the brain, and possibly of the human mind. Long remaining - with the exception of a brief period in the early 1960s - a rather obscure research interest of a small group of dedicated scientists scattered around the world, neural-network research has recently sprung into the limelight as a "fashionable" research field |
| Beschreibung: | 1 Online-Ressource (XIII, 266 p) |
| ISBN: | 9783642972393 9783642972416 |
| ISSN: | 0939-3145 |
| DOI: | 10.1007/978-3-642-97239-3 |
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| author | Müller, Berndt |
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| bvnumber | BV042414082 |
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| discipline | Physik |
| doi_str_mv | 10.1007/978-3-642-97239-3 |
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| isbn | 9783642972393 9783642972416 |
| issn | 0939-3145 |
| language | English |
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| series2 | Physics of Neural Networks |
| spelling | Müller, Berndt Verfasser aut Neural Networks An Introduction by Berndt Müller, Joachim Reinhardt Berlin, Heidelberg Springer Berlin Heidelberg 1990 1 Online-Ressource (XIII, 266 p) txt rdacontent c rdamedia cr rdacarrier Physics of Neural Networks 0939-3145 The mysteries of the human mind have fascinated scientists and philosophers alike for centuries. Descartes identified our ability to think as the foundation stone of ontological philosophy. Others have taken the human mind as evidence of the existence of supernatural powers, or even of God. Serious scientific in vestigation, which began about half a century ago, has partially answered some of the simpler questions (such as how the brain processes visual information), but has barely touched upon the deeper ones concerned with the nature of consciousness and the possible existence of mental features transcending the biological substance of the brain, often encapsulated in the concept "soul". Besides the physiological and philosophical approaches to these questions, so impressively presented and contrasted in the recent book by Popper and Ec cles [P077), studies of formal networks composed of binary-valued information processing units, highly abstracted versions of biological neurons, either by mathematical analysis or by computer simulation, have emerged as a third route towards a better understanding of the brain, and possibly of the human mind. Long remaining - with the exception of a brief period in the early 1960s - a rather obscure research interest of a small group of dedicated scientists scattered around the world, neural-network research has recently sprung into the limelight as a "fashionable" research field Physics Neurosciences Artificial intelligence Thermodynamics Statistical Physics, Dynamical Systems and Complexity Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Statistische Physik (DE-588)4057000-9 gnd rswk-swf Nervennetz (DE-588)4041638-0 gnd rswk-swf Modell (DE-588)4039798-1 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Nervennetz (DE-588)4041638-0 s Modell (DE-588)4039798-1 s 1\p DE-604 Neuronales Netz (DE-588)4226127-2 s Statistische Physik (DE-588)4057000-9 s 2\p DE-604 Reinhardt, Joachim Sonstige oth https://doi.org/10.1007/978-3-642-97239-3 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Müller, Berndt Neural Networks An Introduction Physics Neurosciences Artificial intelligence Thermodynamics Statistical Physics, Dynamical Systems and Complexity Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Statistische Physik (DE-588)4057000-9 gnd Nervennetz (DE-588)4041638-0 gnd Modell (DE-588)4039798-1 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4057000-9 (DE-588)4041638-0 (DE-588)4039798-1 (DE-588)4226127-2 |
| title | Neural Networks An Introduction |
| title_auth | Neural Networks An Introduction |
| title_exact_search | Neural Networks An Introduction |
| title_full | Neural Networks An Introduction by Berndt Müller, Joachim Reinhardt |
| title_fullStr | Neural Networks An Introduction by Berndt Müller, Joachim Reinhardt |
| title_full_unstemmed | Neural Networks An Introduction by Berndt Müller, Joachim Reinhardt |
| title_short | Neural Networks |
| title_sort | neural networks an introduction |
| title_sub | An Introduction |
| topic | Physics Neurosciences Artificial intelligence Thermodynamics Statistical Physics, Dynamical Systems and Complexity Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Statistische Physik (DE-588)4057000-9 gnd Nervennetz (DE-588)4041638-0 gnd Modell (DE-588)4039798-1 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Physics Neurosciences Artificial intelligence Thermodynamics Statistical Physics, Dynamical Systems and Complexity Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Statistische Physik Nervennetz Modell Neuronales Netz |
| url | https://doi.org/10.1007/978-3-642-97239-3 |
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