LEADER 05625nam 22008055 450 001 9910917784903321 005 20250423073149.0 010 $a9789819792825 010 $a9819792827 024 7 $a10.1007/978-981-97-9282-5 035 $a(MiAaPQ)EBC31837019 035 $a(Au-PeEL)EBL31837019 035 $a(CKB)37018324700041 035 $a(OCoLC)1484075698 035 $a(DE-He213)978-981-97-9282-5 035 $a(EXLCZ)9937018324700041 100 $a20241214d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSpiking Neural P Systems $eTheory, Applications and Implementations /$fby Gexiang Zhang, Sergey Verlan, Tingfang Wu, Francis George C. Cabarle, Jie Xue, David Orellana-Martín, Jianping Dong, Luis Valencia-Cabrera, Mario J. Pérez-Jiménez 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (435 pages) 225 0 $aIntelligent Technologies and Robotics Series 311 08$a9789819792818 311 08$a9819792819 327 $aPart I. Theoretical Aspects of Spiking Neural P Systems -- Chapter 1. Fundamentals of Spiking Neural P Systems -- Chapter 2. Computational Power of Spiking Neural P Systems -- Chapter 3. Computational Complexity of Spiking Neural P Systems -- Chapter 4. Variants of Spiking Neural P Systems -- Chapter 5. Automatic Design of Spiking Neural P Systems -- Part II. Real-world Applications of Spiking Neural P Systems -- Chapter 6. Complex Optimization with Spiking Neural P Systems -- Chapter 7. Classification with Spiking Neural P Systems -- Chapter 8. Fault Diagnosis with Spiking Neural P Systems -- Chapter 9. Medical Image Processing with Spiking Neural P Systems -- Chapter 10. More Applications of Spiking Neural P Systems -- Part III. Implementations of Spiking Neural P Systems -- Chapter 11. Software Simulations of Spiking Neural P Systems -- Chapter 12. Hardware Simulations of Spiking Neural P Systems. 330 $aSpiking neural P systems represent a significant advancement in the field of membrane computing, drawing inspiration from the communication patterns observed in neurons. Since their inception in 2006, these distributed and parallel neural-like computing models have gained popularity and emerged as important tools within the membrane computing area. As a key branch of the third generation of artificial neural networks, a fascinating research area of artificial intelligence, spiking neural P systems offer a captivating blend of theoretical elegance and practical utility. Their efficiency, Turing completeness, and real-life application characteristics, including interpretability and suitability for large-scale problems, have positioned them at the forefront of contemporary research in membrane computing and artificial intelligence. This state-of-the-art reference work is organized into three parts comprising twelve chapters. It thoroughly investigates the theoretical foundations, real-life applications, and implementations of spiking neural P systems. From fundamental principles to computational power and complexity, the theoretical aspects are explored, laying the groundwork for understanding their practical applications. Real-life applications span a diverse range of domains, including complex optimization, classification, fault diagnosis, medical image processing, information fusion, cryptography, and robot control. Additionally, the book discusses several software and hardware implementations that provide valuable insights into the practical deployment of spiking neural P systems. As the rapid development of spiking neural P systems continues to unfold, there is an increasing demand for a systematic and comprehensive summary of their capabilities and applications. This work serves as an invaluable resource for researchers, scholars, and practitioners interested in the theoretical underpinnings, algorithms, and practical implementation of artificial intelligence and membrane computing. 606 $aComputational intelligence 606 $aComputational complexity 606 $aArtificial intelligence 606 $aMachine learning 606 $aComputer science 606 $aComputational Intelligence 606 $aComputational Complexity 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aTheory and Algorithms for Application Domains 606 $aModels of Computation 615 0$aComputational intelligence. 615 0$aComputational complexity. 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aComputer science. 615 14$aComputational Intelligence. 615 24$aComputational Complexity. 615 24$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aTheory and Algorithms for Application Domains. 615 24$aModels of Computation. 676 $a006.32 700 $aZhang$b Gexiang$0933282 701 $aVerlan$b Sergey$01780021 701 $aWu$b Tingfang$01780022 701 $aCabarle$b Francis George C$01780023 701 $aXue$b Jie$01780024 701 $aOrellana-Martín$b David$01780025 701 $aDong$b Jianping$01780026 701 $aValencia-Cabrera$b Luis$01780027 701 $aPe?rez-Jime?nez$b Mario J$01757463 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910917784903321 996 $aSpiking Neural P Systems$94303677 997 $aUNINA