This book presents the machine learning, energy and industrial applications in technology and engineering sciences. The matters discussed and presented in the chapters of this book cover a wide spectrum of topics and research methods in the field of technology and engineering sciences. The book contains six chapters: differential evolution algorithm for problem of environmental economic operation solution, classification for electric motors, effective machine learning methods for disease diagnosis, applications for wood industry, approach for 3D shape matching, and determining effects of chaotic mapping methods.
MACHINE LEARNING, ENERGY AND INDUSTRIAL APPLICATIONS IN TECHNOLOGY AND ENGINEERING SCIENCES
MACHINE LEARNING, ENERGY AND INDUSTRIAL APPLICATIONS IN TECHNOLOGY AND ENGINEERING SCIENCES
- EDITOR:
- ASSIST. PROF. DR. ŞULE YÜCELBAŞ
- AUTHORS:
- PROF. DR. HÜSEYİN PEKER
- ASSOC. PROF. DR. SERDAR ÖZYÖN
- ASSIST. PROF. DR. ŞULE YÜCELBAŞ
- DR. LEC. HATİCE ULUSOY
- DR. DUYGU BAYRAM KARA
- ABDALLAH ELCHAKIK
- AHMAD SHAHIN
- ADNAN YASSINE
- HASSAN ALABBOUD
- MINA GHORBAN ZADEH BADELI
- ROAA SOLOH
- ISBN: 978-625-7562-47-8
| detayliarama | Enerji Sistemleri Mühendisliği, Makine Öğrenimi, Mühendislik |
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