000			03979cam a2200577Ii 4500
001			ocn919317951
003			OCoLC
005			20190328114812.0
006			m o d
007			cr cnu|||unuuu
008			150828s2015 enk ob 001 0 eng d
040			_aN$T _beng _erda _epn _cN$T _dYDXCP _dN$T _dIDEBK _dCDX _dOPELS _dEBLCP _dOCLCF _dFEM _dVGM _dOCLCQ _dMERUC _dBUF _dU3W _dD6H _dAU@ _dOCLCQ _dWYU _dTKN
019			_a968038279 _a969076076
020			_a9780081004654 _q(electronic bk.)
020			_a0081004656 _q(electronic bk.)
020			_z9781785480218
035			_a(OCoLC)919317951 _z(OCoLC)968038279 _z(OCoLC)969076076
050		4	_aTK5105.5
072		7	_aCOM _x013000 _2bisacsh
072		7	_aCOM _x014000 _2bisacsh
072		7	_aCOM _x018000 _2bisacsh
072		7	_aCOM _x067000 _2bisacsh
072		7	_aCOM _x032000 _2bisacsh
072		7	_aCOM _x037000 _2bisacsh
072		7	_aCOM _x052000 _2bisacsh
082	0	4	_a004.6 _223
100	1		_aC�amara, Daniel, _eauthor.
245	1	0	_aBio-Inspired Networking / _h[electronic resource] _cDaniel C�amara.
264		1	_aLondon : _bISTE Press Ltd. ; _aKidlington, Oxford : _bElsevier Ltd., _c2015.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _2rda
588	0		_aVendor-supplied metadata.
504			_aIncludes bibliographical references and index.
520			_aBio-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		_aMachine 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		_aNote 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	_aComputer networks.
650		7	_aCOMPUTERS _xComputer Literacy. _2bisacsh
650		7	_aCOMPUTERS _xComputer Science. _2bisacsh
650		7	_aCOMPUTERS _xData Processing. _2bisacsh
650		7	_aCOMPUTERS _xHardware _xGeneral. _2bisacsh
650		7	_aCOMPUTERS _xInformation Technology. _2bisacsh
650		7	_aCOMPUTERS _xMachine Theory. _2bisacsh
650		7	_aCOMPUTERS _xReference. _2bisacsh
650		7	_aComputer networks. _2fast _0(OCoLC)fst00872297
655		4	_aElectronic books.
856	4	0	_3ScienceDirect _uhttp://www.sciencedirect.com/science/book/9781785480218
999			_c247148 _d247148