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Bio-Inspired Networking /
Bio-inspired techniques are based on principles, or models, of biological systems. In general, natural systems present remarkable capabilities of resilience and adaptability. In this book, we explore how bio-inspired methods can solve different problems linked to computer networks.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London : Kidlington, Oxford :
ISTE Press Ltd. ; Elsevier Ltd.,
2015.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a C�amara, Daniel, |e author. | |
| 245 | 1 | 0 | |a Bio-Inspired Networking / |c Daniel C�amara. |
| 264 | 1 | |a London : |b ISTE Press Ltd. ; |a Kidlington, Oxford : |b Elsevier Ltd., |c 2015. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 588 | 0 | |a Vendor-supplied metadata. | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a Bio-inspired techniques are based on principles, or models, of biological systems. In general, natural systems present remarkable capabilities of resilience and adaptability. In this book, we explore how bio-inspired methods can solve different problems linked to computer networks. | ||
| 505 | 0 | |a Machine generated contents note: ch. 1 Evolution and Evolutionary Algorithms -- 1.1. Brief introduction to evolution -- 1.2. Mechanisms of evolution -- 1.2.1. DNA code -- 1.2.2. Mutation -- 1.2.3. Sexual reproduction and recombination -- 1.2.4. Natural selection -- 1.2.5. Genetic drift -- 1.3. Artificial evolution -- 1.3.1. The basic process -- 1.3.2. Limitations -- 1.4. Applications on networks -- 1.4.1.Network positioning -- 1.4.2. Routing -- 1.4.3. Other works -- 1.5. Further reading -- 1.6. Bibliography -- ch. 2 Chemical Computing -- 2.1. Artificial chemistry -- 2.2. Applications on networks -- 2.2.1. Data dissemination -- 2.2.2. Routing -- 2.3. Further reading -- 2.4. Bibliography -- ch. 3 Nervous System -- 3.1. Nervous system hierarchy -- 3.1.1. Central nervous system -- 3.1.2. Peripheral nervous system -- 3.2. The neuron -- 3.3. The neocortex -- 3.4. Speed and capacity -- 3.5. Artificial neural networks -- 3.5.1. The perceptron -- 3.5.2. Interconnecting perceptrons -- 3.5.3. Learning process. | |
| 505 | 0 | |a Note continued: 3.5.4. The backpropagation algorithm -- 3.6. Applications on networks -- 3.6.1. ANN in intrusion detection systems -- 3.6.2. Fault detection -- 3.6.3. Routing -- 3.7. Further reading -- 3.8. Bibliography -- ch. 4 Swarm Intelligence (SI) -- 4.1. Ant colony optimization -- 4.2. Applications on networks -- 4.2.1. Ants colony on routing -- 4.2.2. Ants colony on intrusion detection -- 4.3. Particle swarm optimization -- 4.4. Applications on networks -- 4.4.1. Particle swarm on node positioning -- 4.4.2. Particle swarm on intrusion detection -- 4.5. Further reading -- 4.6. Bibliography. | |
| 650 | 0 | |a Computer networks. | |
| 650 | 2 | |a Computer Communication Networks |0 (DNLM)D003195 | |
| 650 | 6 | |a R�eseaux d'ordinateurs. |0 (CaQQLa)201-0007877 | |
| 650 | 7 | |a COMPUTERS |x Computer Literacy. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Computer Science. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Data Processing. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Hardware |x General. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Information Technology. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Machine Theory. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Reference. |2 bisacsh | |
| 650 | 7 | |a Computer networks. |2 fast |0 (OCoLC)fst00872297 | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9781785480218 |z Texto completo |