Neural network principles:
Using models of biological systems as springboards to a broad range of applications, this volume presents the basic ideas of neural networks in mathematical form. Comprehensive in scope, Neural Network Principles outlines the structure of the human brain, explains the physics of neurons, derives the...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Englewood Cliffs, NJ
Prentice Hall
1994
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| Schlagworte: | |
| Zusammenfassung: | Using models of biological systems as springboards to a broad range of applications, this volume presents the basic ideas of neural networks in mathematical form. Comprehensive in scope, Neural Network Principles outlines the structure of the human brain, explains the physics of neurons, derives the standard neuron state equations, and presents the consequences of these mathematical models. Author Robert L Harvey derives a set of simple networks that can filter, recall, switch, amplify, and recognize input signals that are all patterns of neuron activation The author also discusses properties of general interconnected neuron groups, including the well-known Hopfield and perception neural networks using a unified approach along with suggestions of new design procedures for both. He then applies the theory to synthesize artificial neural networks for specialized tasks |
| Beschreibung: | IX, 197 S. graph. Darst. |
| ISBN: | 0130633305 |
Internformat
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| 520 | 3 | |a Using models of biological systems as springboards to a broad range of applications, this volume presents the basic ideas of neural networks in mathematical form. Comprehensive in scope, Neural Network Principles outlines the structure of the human brain, explains the physics of neurons, derives the standard neuron state equations, and presents the consequences of these mathematical models. Author Robert L | |
| 520 | |a Harvey derives a set of simple networks that can filter, recall, switch, amplify, and recognize input signals that are all patterns of neuron activation | ||
| 520 | |a The author also discusses properties of general interconnected neuron groups, including the well-known Hopfield and perception neural networks using a unified approach along with suggestions of new design procedures for both. He then applies the theory to synthesize artificial neural networks for specialized tasks | ||
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Datensatz im Suchindex
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| author | Harvey, Robert L. |
| author_facet | Harvey, Robert L. |
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| dewey-ones | 612 - Human physiology |
| dewey-raw | 612.8 |
| dewey-search | 612.8 |
| dewey-sort | 3612.8 |
| dewey-tens | 610 - Medicine and health |
| discipline | Informatik Medizin |
| format | Book |
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| id | DE-604.BV010427299 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T17:52:21Z |
| institution | BVB |
| isbn | 0130633305 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006947738 |
| oclc_num | 29430876 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-523 |
| owner_facet | DE-91 DE-BY-TUM DE-523 |
| physical | IX, 197 S. graph. Darst. |
| publishDate | 1994 |
| publishDateSearch | 1994 |
| publishDateSort | 1994 |
| publisher | Prentice Hall |
| record_format | marc |
| spelling | Harvey, Robert L. Verfasser aut Neural network principles Robert L. Harvey Englewood Cliffs, NJ Prentice Hall 1994 IX, 197 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Using models of biological systems as springboards to a broad range of applications, this volume presents the basic ideas of neural networks in mathematical form. Comprehensive in scope, Neural Network Principles outlines the structure of the human brain, explains the physics of neurons, derives the standard neuron state equations, and presents the consequences of these mathematical models. Author Robert L Harvey derives a set of simple networks that can filter, recall, switch, amplify, and recognize input signals that are all patterns of neuron activation The author also discusses properties of general interconnected neuron groups, including the well-known Hopfield and perception neural networks using a unified approach along with suggestions of new design procedures for both. He then applies the theory to synthesize artificial neural networks for specialized tasks Modellen gtt Neurale netwerken gtt Models, Neurological Nerve Net Neural networks (Neurobiology) Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 s DE-604 |
| spellingShingle | Harvey, Robert L. Neural network principles Modellen gtt Neurale netwerken gtt Models, Neurological Nerve Net Neural networks (Neurobiology) Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4226127-2 |
| title | Neural network principles |
| title_auth | Neural network principles |
| title_exact_search | Neural network principles |
| title_full | Neural network principles Robert L. Harvey |
| title_fullStr | Neural network principles Robert L. Harvey |
| title_full_unstemmed | Neural network principles Robert L. Harvey |
| title_short | Neural network principles |
| title_sort | neural network principles |
| topic | Modellen gtt Neurale netwerken gtt Models, Neurological Nerve Net Neural networks (Neurobiology) Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Modellen Neurale netwerken Models, Neurological Nerve Net Neural networks (Neurobiology) Neuronales Netz |
| work_keys_str_mv | AT harveyrobertl neuralnetworkprinciples |