Learning Automata and Their Applications to Intelligent Systems

Released on by JunQi Zhang
preview-18

  • Learning Automata and Their Applications to Intelligent Systems Book Detail

  • Author : JunQi Zhang
  • Release Date : 2023-12-12
  • Publisher : John Wiley & Sons
  • Genre : Technology & Engineering
  • Pages : 276
  • ISBN 13 : 1394188498
  • File Size : 11,11 MB
DOWNLOAD BOOK

Learning Automata and Their Applications to Intelligent Systems by JunQi Zhang PDF Summary

Book Description: Comprehensive guide on learning automata, introducing two variants to accelerate convergence and computational update speed Learning Automata and Their Applications to Intelligent Systems provides a comprehensive guide on learning automata from the perspective of principles, algorithms, improvement directions, and applications. The text introduces two variants to accelerate the convergence speed and computational update speed, respectively; these two examples demonstrate how to design new learning automata for a specific field from the aspect of algorithm design to give full play to the advantage of learning automata. As noisy optimization problems exist widely in various intelligent systems, this book elaborates on how to employ learning automata to solve noisy optimization problems from the perspective of algorithm design and application. The existing and most representative applications of learning automata include classification, clustering, game, knapsack, network, optimization, ranking, and scheduling. They are well-discussed. Future research directions to promote an intelligent system are suggested. Written by two highly qualified academics with significant experience in the field, Learning Automata and Their Applications to Intelligent Systems covers such topics as: Mathematical analysis of the behavior of learning automata, along with suitable learning algorithms Two application-oriented learning automata: one to discover and track spatiotemporal event patterns, and the other to solve stochastic searching on a line Demonstrations of two pioneering variants of Optimal Computing Budge Allocation (OCBA) methods and how to combine learning automata with ordinal optimization How to achieve significantly faster convergence and higher accuracy than classical pursuit schemes via lower computational complexity of updating the state probability A timely text in a rapidly developing field, Learning Automata and Their Applications to Intelligent Systems is an essential resource for researchers in machine learning, engineering, operation, and management. The book is also highly suitable for graduate level courses on machine learning, soft computing, reinforcement learning and stochastic optimization.

Disclaimer: www.yourbookbest.com does not own Learning Automata and Their Applications to Intelligent Systems books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Recent Advances in Learning Automata

Recent Advances in Learning Automata

File Size : 7,7 MB
Total View : 3447 Views
DOWNLOAD

This book collects recent theoretical advances and concrete applications of learning automata (LAs) in various areas of computer science, presenting a broad tre

Multiple Approaches to Intelligent Systems

Multiple Approaches to Intelligent Systems

File Size : 43,43 MB
Total View : 8983 Views
DOWNLOAD

We never create anything, We discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence

Multiple Approaches to Intelligent Systems

Multiple Approaches to Intelligent Systems

File Size : 45,45 MB
Total View : 9562 Views
DOWNLOAD

We never create anything, We discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence