This book presents advanced AI approaches and their practical applications in traffic and energy systems, expanding the limits of existing research and practice. It showcases the potential of neural networks and graph models to greatly improve the e...Loe edasi...
The goal of this book is to use an expert Artificial Neural Network (ANN) to solve various science and engineering application problems and to discuss current developments in solving complicated engineering problems that cannot be solved using tradi...Loe edasi...
This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to so...Loe edasi...
This book offers a comprehensive exploration of the transformative role that edge devices play in advancing Internet of Things (IoT) applications. By providing real-time processing, reduced latency, increased efficiency, improved security, and sca...Loe edasi...
The book aims to highlight the potential of Deep Learning (DL)-enabled methods in Intelligent Fault Diagnosis (IFD), along with their benefits and contributions. The authors first introduce basic applications of DL-enabled IFD, inclu...Loe edasi...
This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to so...Loe edasi...
State of the Art in Neural Networks and Their Applications, Volume Two presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book provides over views and case studie...Loe edasi...
(Ilmumisaeg: 01-Jun-2022, Hardback, Kirjastus: Nova Science Publishers Inc, ISBN-13: 9781685077570)
In the past few years, considerable interest has been shown and relevant resources have been devoted to the design, development and operation of autonomous aerial, underwater, and sea surface vehicles. The possibility of removing human pilots from d...Loe edasi...
(Ilmumisaeg: 03-May-2022, Paperback / softback, Kirjastus: De Gruyter, ISBN-13: 9783110656145)
Neural Networks is an integral part in machine learning and a known tool for controlling nonlinear processes. The area is under rapid development and provides a tool for modelling and controlling of advanced processes. This book provides a compre...Loe edasi...
State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. Advances in the role of machine learning, artificial int...Loe edasi...
Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box artificial higher order neural networks (HONNs) play an important role in this new direction. HONNs will challenge...Loe edasi...
(Ilmumisaeg: 05-Feb-2021, Hardback, Kirjastus: Business Science Reference, ISBN-13: 9781799835639)
Presents research on how to use HONNs in control and recognition areas and explains why HONNs can approximate any nonlinear data to any degree of accuracy, their ease of use, and how they can have better nonlinear data recognition accuracy than SAS...Loe edasi...
This book explores the emerging capabilities and applications of artificial higher order neural networks in the fields of economics, business, modeling, simulation, control, recognition, computer science, and engineering--...Loe edasi...
(Ilmumisaeg: 18-Jan-2021, Paperback / softback, Kirjastus: De Gruyter, ISBN-13: 9783110645941)
Artificial Neural Networks (ANNs) is a powerful computational tool to mimic the learning process of the mammalian brain. This book gives a comprehensive overview of ANNs including an introduction to the topic, classifications of single neurons an...Loe edasi...
Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in tradit...Loe edasi...
Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Net...Loe edasi...
