BOOKS - Learning Automata and Their Applications to Intelligent Systems
Learning Automata and Their Applications to Intelligent Systems - JunQi Zhang, MengChu Zhou 2024 PDF | EPUB Wiley-IEEE Press BOOKS
ECO~14 kg CO²

1 TON

Views
78555

Telegram
 
Learning Automata and Their Applications to Intelligent Systems
Author: JunQi Zhang, MengChu Zhou
Year: 2024
Pages: 275
Format: PDF | EPUB
File size: 21.6 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Machine Learning Refined Foundations, Algorithms, and Applications
Deep Learning Techniques for Automation and Industrial Applications
Handbook on Federated Learning Advances, Applications and Opportunities
Machine Learning Applications From Computer Vision to Robotics
Deep Learning Techniques for Automation and Industrial Applications
Machine Learning Hybridization and Optimization for Intelligent Applications
Machine Learning Applications From Computer Vision to Robotics
Machine Learning and Data Science Fundamentals and Applications
Handbook on Federated Learning Advances, Applications and Opportunities
Programming The Ultimate Guide on Learning Technology and applications
An Introduction to Statistical Learning with Applications in R, 2nd Edition
Real-Time Cloud Computing and Machine Learning Applications
Fundamentals of Supervised Machine Learning With Applications in Python, R, and Stata
An Introduction to Optimization With Applications to Machine Learning, 5th Edition
Data Science and Machine Learning Applications in Subsurface Engineering
Artificial Intelligence Using Federated Learning Fundamentals, Challenges, and Applications
Python for Machine Learning: From Fundamentals to Real-World Applications
An Introduction to Optimization with Applications in Machine Learning and Data Analytics
Big Data, IoT, and Machine Learning Tools and Applications
Applications of Deep Machine Learning in Future Energy Systems
Machine Learning for Asset Management New Developments and Financial Applications
Machine Learning for High-Risk Applications (3d Early Release)
Data Science and Machine Learning Applications in Subsurface Engineering
Python for Machine Learning From Fundamentals to Real-World Applications
Blockchain, Big Data and Machine Learning Trends and Applications
Cybernetics, Human Cognition, and Machine Learning in Communicative Applications
Machine Learning and Analytics in Healthcare Systems Principles and Applications
Artificial Intelligence and Machine Learning Applications for Sustainable Development
Applications of Deep Machine Learning in Future Energy Systems
Applications of Optimization and Machine Learning in Image Processing and IoT
Advanced Deep Learning Applications in Big Data Analytics
Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch
Applications of Optimization and Machine Learning in Image Processing and IoT
Cognitive Analytics and Reinforcement Learning Theories, Techniques and Applications
Artificial Intelligence Using Federated Learning Fundamentals, Challenges, and Applications
Data Science and Machine Learning Applications in Subsurface Engineering
Python for Machine Learning From Fundamentals to Real-World Applications
Building Machine Learning Powered Applications (Early Release)
Learning Airtable: Building Database-Driven Applications with No-Code