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Artificial Neural Networks for Engineering Applications

Artificial Neural Networks for Engineering Applications
  • Author : Alma Y. Alanis
  • Publsiher : Academic Press
  • Release : 15 March 2019
  • ISBN : 0128182474
  • Pages : 224 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKArtificial Neural Networks for Engineering Applications

Summary:
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


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 : 15 March 2019
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

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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
  • Publisher : World Scientific
  • Release : 01 January 2001
GET THIS BOOKApplication of Neural Networks and Other Learning Technologies in Process Engineering

This book is a follow-up to the IChemE symposium on OC Neural Networks and Other Learning TechnologiesOCO, 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

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Engineering Applications of Neural Networks

Engineering Applications of Neural Networks
  • Author : John Macintyre,Lazaros Iliadis,Ilias Maglogiannis,Chrisina Jayne
  • Publisher : Springer
  • Release : 14 May 2019
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 -

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Artificial Neural Networks for Engineers and Scientists

Artificial Neural Networks for Engineers and Scientists
  • Author : S. Chakraverty,Susmita Mall
  • Publisher : CRC Press
  • Release : 20 July 2017
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

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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 : 23 June 2021
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,

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Artificial Neural Networks in Real-life Applications

Artificial Neural Networks in Real-life Applications
  • Author : Juan Ramon Rabunal,Julian Dorado
  • Publisher : IGI Global
  • Release : 01 January 2006
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.

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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 : 27 May 2020
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

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Engineering Applications of Neural Networks

Engineering Applications of Neural Networks
  • Author : Lazaros S. Iliadis,Harris Papadopoulos,Chrisina Jayne
  • Publisher : Springer
  • Release : 25 September 2013
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

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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 : 25 September 2020
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

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Research Anthology on Artificial Neural Network Applications

Research Anthology on Artificial Neural Network Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 16 July 2021
GET THIS BOOKResearch Anthology on Artificial Neural Network Applications

Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications

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Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults
  • Author : Nabamita Banerjee Roy,Kesab Bhattacharya
  • Publisher : CRC Press
  • Release : 21 July 2021
GET THIS BOOKApplication of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

Accurate, fast, and reliable fault classification techniques are an important operational requirement in modern-day power transmission systems. Application of Signal Processing Tools and Neural Network in Diagnosis of Power System Faults examines power system faults and conventional techniques of fault analysis. The authors provide insight into artificial neural networks and their applications, with illustrations, for identifying power system faults. Wavelet transform and its application are discussed as well as an elaborate method of Stockwell transform. The authors also employ probabilistic

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Applied Artificial Neural Network Methods For Engineers And Scientists: Solving Algebraic Equations

Applied Artificial Neural Network Methods For Engineers And Scientists: Solving Algebraic Equations
  • Author : Snehashish Chakraverty,Sumit Kumar Jeswal
  • Publisher : World Scientific
  • Release : 26 January 2021
GET THIS BOOKApplied Artificial Neural Network Methods For Engineers And Scientists: Solving Algebraic Equations

The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN). As such, the book starts with basics of ANN along with different mathematical preliminaries with respect to algebraic equations. Then it addresses ANN based methods for solving different algebraic equations viz. polynomial equations, diophantine equations, transcendental equations, system of linear and nonlinear equations, eigenvalue problems etc. which are the basic equations to handle the application problems mentioned in the

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Advanced Applications for Artificial Neural Networks

Advanced Applications for Artificial Neural Networks
  • Author : Adel El-Shahat
  • Publisher : BoD – Books on Demand
  • Release : 28 February 2018
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

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