Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 197
Book Description
Also Contains Special Issue Articles: Advances in Swarm Intelligence for Neural Networks
Special Issue on Recent Advances on Swarm Intelligence: Theory and Applications
Author: Rajan AlexGenerative Adversarial Learning: Architectures and Applications
Author: Roozbeh Razavi-FarPublisher: Springer Nature
ISBN: 3030913902
Category : Technology & Engineering
Languages : en
Pages : 355
Book Description
This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs’ theoretical developments and their applications.
Also Contains Special Issue Articles: Advances in Intelligent Systems, Selected Papers from the 2012 Brazilian Symposium on Neural Networks (SBRN 2012)
Author: Advances in Artificial Intelligence
Author: Marius G GavrilescuPublisher: Mdpi AG
ISBN: 9783036545158
Category : Mathematics
Languages : en
Pages : 0
Book Description
The present book contains all the articles accepted and published in the Special Issue "Advances in Artificial Intelligence: Models, Optimization, and Machine Learning" of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelligence and its subfields. These topics include, among others, deep learning and classic machine learning algorithms, neural modelling, architectures and learning algorithms, biologically inspired optimization algorithms, algorithms for autonomous driving, probabilistic models and Bayesian reasoning, intelligent agents and multiagent systems. We hope that the scientific results presented in this book will serve as valuable sources of documentation and inspiration for anyone willing to pursue research in artificial intelligence, machine learning and their widespread applications.
Contains Special Issue Articles: Advances in Computational Intelligence
Author: Special Issue on Neural Networks and Machine Learning
Author: Sitian QinAdvances in Artificial Intelligence: Models, Optimization, and Machine Learning
Author: Florin LeonPublisher:
ISBN: 9783036545165
Category :
Languages : en
Pages : 0
Book Description
The present book contains all the articles accepted and published in the Special Issue "Advances in Artificial Intelligence: Models, Optimization, and Machine Learning" of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelligence and its subfields. These topics include, among others, deep learning and classic machine learning algorithms, neural modelling, architectures and learning algorithms, biologically inspired optimization algorithms, algorithms for autonomous driving, probabilistic models and Bayesian reasoning, intelligent agents and multiagent systems. We hope that the scientific results presented in this book will serve as valuable sources of documentation and inspiration for anyone willing to pursue research in artificial intelligence, machine learning and their widespread applications.
Advances in Swarm Intelligence
Author: Ying TanPublisher: Springer
ISBN: 3319118579
Category : Computers
Languages : en
Pages : 533
Book Description
This book and its companion volume, LNCS vol. 8794 and 8795 constitute the proceedings of the 5th International Conference on Swarm Intelligence, ICSI 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and development such as novel swarm-based search methods; novel optimization algorithm; particle swarm optimization; ant colony optimization for travelling salesman problem; artificial bee colony algorithms; artificial immune system; evolutionary algorithms; neural networks and fuzzy methods; hybrid methods; multi-objective optimization; multi-agent systems; evolutionary clustering algorithms; classification methods; GPU-based methods; scheduling and path planning; wireless sensor networks; power system optimization; swarm intelligence in image and video processing; applications of swarm intelligence to management problems; swarm intelligence for real-world application.
Integration of Swarm Intelligence and Artificial Neural Network
Author: Satchidananda DehuriPublisher: World Scientific
ISBN: 9814280143
Category : Computers
Languages : en
Pages : 352
Book Description
This book provides a new forum for the dissemination of knowledge in both theoretical and applied research on swarm intelligence (SI) and artificial neural network (ANN). It accelerates interaction between the two bodies of knowledge and fosters a unified development in the next generation of computational model for machine learning. To the best of our knowledge, the integration of SI and ANN is the first attempt to integrate various aspects of both the independent research area into a single volume.