LEADER 02822nam 22004333 450 001 9911019358903321 005 20250709080309.0 010 $a1-394-27080-1 010 $a1-394-27079-8 035 $a(MiAaPQ)EBC32197087 035 $a(Au-PeEL)EBL32197087 035 $a(CKB)39592116400041 035 $a(OCoLC)1526958854 035 $a(BIP)119622015 035 $a(BIP)118984429 035 $a(EXLCZ)9939592116400041 100 $a20250709d2025 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence for Power Electronics 205 $a1st ed. 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2025. 210 4$dİ2025. 215 $a1 online resource (398 pages) 311 08$a1-394-27077-1 330 $aThorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI and power electronics, and the challenges the field faces in design to production, with the solutions of these challenges through AI methods. Example solutions, along with Q&A review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in this book include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning models Techniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of data Optimization techniques such as Particle Swarm Optimization and Ant Colony Optimization Detection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behavior Essential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable. 700 $aHaque$b Ahteshamul$01839412 701 $aMekhilef$b Saad$01222191 701 $aMalik$b Azra$01839413 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019358903321 996 $aArtificial Intelligence for Power Electronics$94418628 997 $aUNINA