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010   $a981-9697-90-5
024 7 $a10.1007/978-981-96-9790-8
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035   $a(OCoLC)1568049205
035   $a(DE-He213)978-981-96-9790-8
035   $a(EXLCZ)9944773724900041
100   $a20260103d2026      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aIntelligent Computing $eConcepts, Principles and Applications /$fby Ruizhuo Song, Qinglai Wei, Qing Li, Shi Xing
205   $a1st ed. 2026.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2026.
215   $a1 online resource (196 pages)
225 1 $aArtificial Intelligence (R0) Series
311 08$a981-9697-89-1 
327   $a"Chapter 1: Introduction" -- "Chapter 2: Evolutionary Computing" -- "Chapter 3: Swarm Intelligence Computing" -- "Chapter 4: Neural Computing" -- "Chapter 5: Machine Learning".
330   $aIntelligent computing is a computational approach primarily inspired by the objective laws governing biological groups in nature, as well as the behaviors of biological thinking and movement. It encompasses various algorithmic fields such as evolutionary computation, swarm intelligence computation, neural computation, and more. These algorithms typically achieve the goals of intelligent computing by simulating the distinctive functions of certain species in nature or specific characteristics of natural phenomena. By programming and executing the collective wisdom of biological groups and leveraging natural laws, optimization algorithms with intelligent essence are designed. This book serves as an introduction to widely used and common intelligent computing methods. It covers fundamental concepts, principles, model characteristics, and typical application examples of various intelligent computing methods. Additionally, it provides the latest examples along with corresponding Matlab or Python codes, facilitating readers in deepening their understanding and reproducing the content. The target audience for this book includes senior undergraduate and graduate students majoring in automation, artificial intelligence, intelligent science and technology, computer science, and related fields. It can also serve as a valuable self-study reference for professionals in computer science, artificial intelligence, and related disciplines.
410  0$aArtificial Intelligence (R0) Series
606   $aArtificial intelligence
606   $aComputer science
606   $aMachine learning
606   $aArtificial Intelligence
606   $aComputer Science
606   $aMachine Learning
615  0$aArtificial intelligence.
615  0$aComputer science.
615  0$aMachine learning.
615 14$aArtificial Intelligence.
615 24$aComputer Science.
615 24$aMachine Learning.
676   $a006.3
700   $aSong$b Ruizhuo$01226674
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911049177003321
996   $aIntelligent Computing$94521450
997   $aUNINA