Artificial Neural Networks for Engineering Applications

Artificial Neural Networks for Engineering Applications
Author: Alma Y. Alanis,Nancy Arana-Daniel,Carlos Lopez-Franco
Publsiher: Academic Press
Total Pages: 224
Release: 2019-03-15
Genre: Science
ISBN: 9780128182475

Download Artificial Neural Networks for Engineering Applications Book in PDF, Epub and Kindle

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
Publsiher: Academic Press
Total Pages: 176
Release: 2019-02-07
Genre: Science
ISBN: 9780128182482

Download Artificial Neural Networks for Engineering Applications Book in PDF, Epub and Kindle

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

Engineering Applications of Neural Networks

Engineering Applications of Neural Networks
Author: John Macintyre,Lazaros Iliadis,Ilias Maglogiannis,Chrisina Jayne
Publsiher: Springer
Total Pages: 546
Release: 2019-05-14
Genre: Computers
ISBN: 9783030202576

Download Engineering Applications of Neural Networks Book in PDF, Epub and Kindle

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 - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop.

Artificial Neural Network Applications in Business and Engineering

Artificial Neural Network Applications in Business and Engineering
Author: Do, Quang Hung
Publsiher: IGI Global
Total Pages: 275
Release: 2021-01-08
Genre: Computers
ISBN: 9781799832409

Download Artificial Neural Network Applications in Business and Engineering Book in PDF, Epub and Kindle

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 an essential reference source that illustrates recent advancements of artificial neural networks in various professional fields, accompanied by specific case studies and practical examples. Featuring research on topics such as training algorithms, transportation, and computer security, this book is ideally designed for researchers, students, developers, managers, engineers, academicians, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.

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
Publsiher: Springer Nature
Total Pages: 521
Release: 2021-06-23
Genre: Technology & Engineering
ISBN: 9783030805685

Download Proceedings of the 22nd Engineering Applications of Neural Networks Conference Book in PDF, Epub and Kindle

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, bio-medical AI, cyber-security, data fusion, e-learning, emotion recognition, environment, hyperspectral imaging, fraud detection, image analysis, inverse kinematics, machine vision, natural language, recommendation systems, robotics, sentiment analysis, simulation, stock market prediction.

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
Publsiher: World Scientific
Total Pages: 424
Release: 2001-04-02
Genre: Computers
ISBN: 9781783261482

Download Application of Neural Networks and Other Learning Technologies in Process Engineering Book in PDF, Epub and Kindle

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 various aspects of process engineering problems — modelling, estimation, control, optimisation and industrial applications. Contents:Modelling and IdentificationHybrid SchemesEstimations and ControlNew Learning TechnologiesExperimental and Industrial Applications Readership: Academic and industrial researchers, chemical engineers and control engineers. Keywords:Modelling;Hybrid Schemes;Technologies;Industrial Applications

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
Publsiher: IGI Global
Total Pages: 660
Release: 2010-02-28
Genre: Computers
ISBN: 9781615207121

Download Artificial Higher Order Neural Networks for Computer Science and Engineering Trends for Emerging Applications Book in PDF, Epub and Kindle

"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
Publsiher: IGI Global
Total Pages: 315
Release: 2020-09-25
Genre: Computers
ISBN: 9781799840435

Download Applications of Artificial Neural Networks for Nonlinear Data Book in PDF, Epub and Kindle

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 significantly deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature of artificial neural networks and their specific implementations within data analysis. While highlighting topics including propagation functions, optimization techniques, and learning methodologies, this book is ideally designed for researchers, statisticians, academicians, developers, scientists, practitioners, students, and educators seeking current research on the use of artificial neural networks in diagnosing and solving nonparametric problems.

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
Publsiher: Springer Nature
Total Pages: 619
Release: 2020-05-27
Genre: Computers
ISBN: 9783030487911

Download Proceedings of the 21st EANN Engineering Applications of Neural Networks 2020 Conference Book in PDF, Epub and Kindle

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 variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors. One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks.

Artificial Neural Networks for Engineers and Scientists

Artificial Neural Networks for Engineers and Scientists
Author: S. Chakraverty,Susmita Mall
Publsiher: CRC Press
Total Pages: 150
Release: 2017-07-20
Genre: Mathematics
ISBN: 9781351651318

Download Artificial Neural Networks for Engineers and Scientists Book in PDF, Epub and Kindle

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 book shows how computation of differential equation becomes faster once the ANN model is properly developed and applied.

Research Anthology on Artificial Neural Network Applications

Research Anthology on Artificial Neural Network Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 1575
Release: 2021-07-16
Genre: Computers
ISBN: 9781668424094

Download Research Anthology on Artificial Neural Network Applications Book in PDF, Epub and Kindle

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 covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, finance, operations research, business, social media, security, and more. Covering everything from the applications and uses of artificial neural networks to deep learning and non-linear problems, this book is ideal for computer scientists, IT specialists, data scientists, technologists, business owners, engineers, government agencies, researchers, academicians, and students, as well as anyone who is interested in learning more about how artificial neural networks can be used across a wide range of fields.

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
Publsiher: Academic Press
Total Pages: 500
Release: 2022-08-01
Genre: Technology & Engineering
ISBN: 9780128231869

Download Artificial Neural Networks for Renewable Energy Systems and Real World Applications Book in PDF, Epub and Kindle

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 engineering and industrial disciplines, making this book a useful reference for all researchers and engineers interested in artificial networks, renewable energy systems, and manufacturing process analysis. Includes illustrative examples on the design and development of ANNS for renewable and manufacturing applications Features computer-aided simulations presented as algorithms, pseudocodes and flowcharts Covers ANN theory for easy reference in subsequent technology specific sections

Advanced Applications for Artificial Neural Networks

Advanced Applications for Artificial Neural Networks
Author: Adel El-Shahat
Publsiher: BoD – Books on Demand
Total Pages: 296
Release: 2018-02-28
Genre: Computers
ISBN: 9789535137801

Download Advanced Applications for Artificial Neural Networks Book in PDF, Epub and Kindle

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 advanced process control, ANN breast cancer detection, ANN applications in biofuels, ANN modeling for manufacturing process optimization, spectral interference correction using a large-size spectrometer and ANN-based deep learning, solar radiation ANN prediction using NARX model, and ANN data assimilation for an atmospheric general circulation model.

Artificial Neural Networks in Real life Applications

Artificial Neural Networks in Real life Applications
Author: Juan Ramon Rabunal,Julian Dorado
Publsiher: IGI Global
Total Pages: 375
Release: 2006-01-01
Genre: Technology & Engineering
ISBN: 9781591409021

Download Artificial Neural Networks in Real life Applications Book in PDF, Epub and Kindle

"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.

Engineering Applications of Neural Networks

Engineering Applications of Neural Networks
Author: Lazaros S. Iliadis,Harris Papadopoulos,Chrisina Jayne
Publsiher: Springer
Total Pages: 510
Release: 2013-09-25
Genre: Computers
ISBN: 9783642410130

Download Engineering Applications of Neural Networks Book in PDF, Epub and Kindle

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 of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics and learning.