Artificial Neural Networks for Engineering Applications

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Read or download book entitled Artificial Neural Networks for Engineering Applications written by Alma Y. Alanis and published by Academic Press in PDF, EPUB and Kindle Format. Click Get This Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like. We cannot guarantee that Artificial Neural Networks for Engineering Applications book is available in the library.

  • Publisher : Academic Press
  • Release : 15 March 2019
  • ISBN : 9780128182475
  • Page : 224 pages
  • Rating : 4.5/5 from 103 voters

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Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications. Presents the current trends for the solution of complex engineering problems that cannot be solved through conventional methods Includes real-life scenarios where a wide range of artificial neural network architectures can be used to solve the problems encountered in engineering Contains all the theory required to use the proposed methodologies for different applications

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Artificial Neural Networks for Engineering Applications

Artificial Neural Networks for Engineering Applications
  • Author : Alma Y. Alanis,Nancy Arana-Daniel,Carlos Lopez-Franco
  • Publisher : Academic Press
  • Release Date : 2019-03-15
  • ISBN : 9780128182475
GET THIS BOOKArtificial Neural Networks for Engineering Applications

Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the

Artificial Neural Networks for Engineering Applications

Artificial Neural Networks for Engineering Applications
  • Author : Alma Y. Alanis,Nancy Arana-Daniel,Carlos Lopez-Franco
  • Publisher : Academic Press
  • Release Date : 2019-02-07
  • ISBN : 9780128182482
GET THIS BOOKArtificial Neural Networks for Engineering Applications

Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the

Engineering Applications of Neural Networks

Engineering Applications of Neural Networks
  • Author : John Macintyre,Lazaros Iliadis,Ilias Maglogiannis,Chrisina Jayne
  • Publisher : Springer
  • Release Date : 2019-05-14
  • ISBN : 9783030202576
GET THIS BOOKEngineering Applications of Neural Networks

This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019. The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling -

Artificial Neural Network Applications in Business and Engineering

Artificial Neural Network Applications in Business and Engineering
  • Author : Do, Quang Hung
  • Publisher : IGI Global
  • Release Date : 2021-01-08
  • ISBN : 9781799832409
GET THIS BOOKArtificial Neural Network Applications in Business and Engineering

In today’s modernized market, various disciplines continue to search for universally functional technologies that improve upon traditional processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy. Due to their complexity, utilizing their potential was previously seen as a challenge. However, with the development of artificial intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications in Business and Engineering is

Proceedings of the 22nd Engineering Applications of Neural Networks Conference

Proceedings of the 22nd Engineering Applications of Neural Networks Conference
  • Author : Lazaros Iliadis,John Macintyre,Chrisina Jayne,Elias Pimenidis
  • Publisher : Springer Nature
  • Release Date : 2021-06-23
  • ISBN : 9783030805685
GET THIS BOOKProceedings of the 22nd Engineering Applications of Neural Networks Conference

This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the following algorithms-approaches: Augmented ML, autoencoders, adversarial neural networks, blockchain-adaptive methods, convolutional neural networks, deep learning, ensemble methods, learning-federated learning, neural networks, recurrent – long short-term memory. The application domains are related to: Anomaly detection,

Application of Neural Networks and Other Learning Technologies in Process Engineering

Application of Neural Networks and Other Learning Technologies in Process Engineering
  • Author : I M Mujtaba,M A Hussain
  • Publisher : World Scientific
  • Release Date : 2001-04-02
  • ISBN : 9781783261482
GET THIS BOOKApplication of Neural Networks and Other Learning Technologies in Process Engineering

This book is a follow-up to the IChemE symposium on “Neural Networks and Other Learning Technologies”, held at Imperial College, UK, in May 1999. The interest shown by the participants, especially those from the industry, has been instrumental in producing the book. The papers have been written by contributors of the symposium and experts in this field from around the world. They present all the important aspects of neural network utilisation as well as show the versatility of neural networks in

Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications

Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications
  • Author : Zhang, Ming
  • Publisher : IGI Global
  • Release Date : 2010-02-28
  • ISBN : 9781615207121
GET THIS BOOKArtificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications

"This book introduces and explains Higher Order Neural Networks (HONNs) to people working in the fields of computer science and computer engineering, and how to use HONNS in these areas"--Provided by publisher.

Applications of Artificial Neural Networks for Nonlinear Data

Applications of Artificial Neural Networks for Nonlinear Data
  • Author : Patel, Hiral Ashil,Kumar, A.V. Senthil
  • Publisher : IGI Global
  • Release Date : 2020-09-25
  • ISBN : 9781799840435
GET THIS BOOKApplications of Artificial Neural Networks for Nonlinear Data

Processing information and analyzing data efficiently and effectively is crucial for any company that wishes to stay competitive in its respective market. Nonlinear data presents new challenges to organizations, however, due to its complexity and unpredictability. The only technology that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing complex data in a proficient manner, yet considerable research on the specific applications of these intelligent components is

Advanced Applications for Artificial Neural Networks

Advanced Applications for Artificial Neural Networks
  • Author : Adel El-Shahat
  • Publisher : BoD – Books on Demand
  • Release Date : 2018-02-28
  • ISBN : 9789535137801
GET THIS BOOKAdvanced Applications for Artificial Neural Networks

In this book, highly qualified multidisciplinary scientists grasp their recent researches motivated by the importance of artificial neural networks. It addresses advanced applications and innovative case studies for the next-generation optical networks based on modulation recognition using artificial neural networks, hardware ANN for gait generation of multi-legged robots, production of high-resolution soil property ANN maps, ANN and dynamic factor models to combine forecasts, ANN parameter recognition of engineering constants in Civil Engineering, ANN electricity consumption and generation forecasting, ANN for

Artificial Neural Networks for Renewable Energy Systems and Real-World Applications

Artificial Neural Networks for Renewable Energy Systems and Real-World Applications
  • Author : Mohamed Elasyed Abd Elaziz,Ammar Hamed Elsheikh
  • Publisher : Academic Press
  • Release Date : 2022-08-01
  • ISBN : 9780128231869
GET THIS BOOKArtificial Neural Networks for Renewable Energy Systems and Real-World Applications

Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modeling, analysis, and optimization of different energy systems and manufacturing processes. With growing research catering to the applications of neural networks in specific industrial applications, this reference provides a single resource catering to a broader perspective of ANN in renewable energy systems and manufacturing processes. ANN-based methods have attracted the attention of scientists and researchers in different

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference
  • Author : Lazaros Iliadis,Plamen Parvanov Angelov,Chrisina Jayne,Elias Pimenidis
  • Publisher : Springer Nature
  • Release Date : 2020-05-27
  • ISBN : 9783030487911
GET THIS BOOKProceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference

This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and “AI winters.” Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a

Artificial Neural Networks in Real-life Applications

Artificial Neural Networks in Real-life Applications
  • Author : Juan Ramon Rabunal,Julian Dorado
  • Publisher : IGI Global
  • Release Date : 2006-01-01
  • ISBN : 9781591409021
GET THIS BOOKArtificial Neural Networks in Real-life Applications

"This book offers an outlook of the most recent works at the field of the Artificial Neural Networks (ANN), including theoretical developments and applications of systems using intelligent characteristics for adaptability"--Provided by publisher.

Artificial Neural Networks for Engineers and Scientists

Artificial Neural Networks for Engineers and Scientists
  • Author : S. Chakraverty,Susmita Mall
  • Publisher : CRC Press
  • Release Date : 2017-07-20
  • ISBN : 9781351651318
GET THIS BOOKArtificial Neural Networks for Engineers and Scientists

Differential equations play a vital role in the fields of engineering and science. Problems in engineering and science can be modeled using ordinary or partial differential equations. Analytical solutions of differential equations may not be obtained easily, so numerical methods have been developed to handle them. Machine intelligence methods, such as Artificial Neural Networks (ANN), are being used to solve differential equations, and these methods are presented in Artificial Neural Networks for Engineers and Scientists: Solving Ordinary Differential Equations. This

Neural Network Applications in Control

Neural Network Applications in Control
  • Author : Institution of Electrical Engineers
  • Publisher : IET
  • Release Date : 1995
  • ISBN : 0852968523
GET THIS BOOKNeural Network Applications in Control

Introducing a wide variety of network types, including Kohenen nets, n-tuple nets and radial basis function networks as well as the more useful multilayer perception back-propagation networks, this book aims to give a detailed appreciation of the use of neural nets in these applications.

Engineering Applications of Neural Networks

Engineering Applications of Neural Networks
  • Author : Lazaros S. Iliadis,Harris Papadopoulos,Chrisina Jayne
  • Publisher : Springer
  • Release Date : 2013-09-25
  • ISBN : 9783642410130
GET THIS BOOKEngineering Applications of Neural Networks

The two volumes set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering Applications of Neural Networks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificial neural networks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects