Artificial 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 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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  • Author : Alma Y. Alanis
  • Publisher : Academic Press
  • Pages : 224 pages
  • ISBN : 0128182474
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKArtificial Neural Networks for Engineering 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

Artificial Neural Networks

Artificial Neural Networks
  • Author : Kenji Suzuki
  • Publisher : BoD – Books on Demand
  • Release : 04 April 2011
GET THIS BOOKArtificial Neural Networks

Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of artificial neural networks in industrial and control engineering applications. The book begins with a review of applications of artificial neural networks in textile industries. Particular applications in textile industries follow. Parts continue with applications in materials science and industry such as material

Neural Network Applications in Control

Neural Network Applications in Control
  • Author : Institution of Electrical Engineers
  • Publisher : IET
  • Release : 25 January 1995
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 : Giacomo Boracchi,Lazaros Iliadis,Chrisina Jayne,Aristidis Likas
  • Publisher : Springer
  • Release : 30 July 2017
GET THIS BOOKEngineering Applications of Neural Networks

This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017. The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural networks, image processing, pattern recognition, recommendation systems, machine learning, and applications of Artificial Neural Networks (ANN) applications in engineering, 5G telecommunication networks, and audio signal processing. The volume also includes

Artificial Neural Networks for Civil Engineers

Artificial Neural Networks for Civil Engineers
  • Author : Nabil Kartam,Ian Flood,James H. Garrett,Girish Agrawal
  • Publisher : American Society of Civil Engineers
  • Release : 01 January 1997
GET THIS BOOKArtificial Neural Networks for Civil Engineers

This monograph provides researchers with an understanding of the potential of artificial neural networks for solving civil engineering related problems, and guidance on how to develop successful implementations for a broad range of problems. Fundamental issues in the selection, development, and use of neural networks, as well as example applications to each of the various disciplines in civil engineering are presented. An introduction to neural networks is provided, along with a classification of the various forms of neural networking systems

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

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

Engineering Applications of Bio-Inspired Artificial Neural Networks

Engineering Applications of Bio-Inspired Artificial Neural Networks
  • Author : Jose Mira,Juan V. Sanchez-Andres
  • Publisher : Springer Science & Business Media
  • Release : 19 May 1999
GET THIS BOOKEngineering Applications of Bio-Inspired Artificial Neural Networks

This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial and Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 91 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation and implementation, image processing, and engineering applications.

Neural Networks for Applied Sciences and Engineering

Neural Networks for Applied Sciences and Engineering
  • Author : Sandhya Samarasinghe
  • Publisher : CRC Press
  • Release : 19 April 2016
GET THIS BOOKNeural Networks for Applied Sciences and Engineering

In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introduction to neural networks. Beginning with an introductory discussion on the role of neural networks in scientific data analysis, this book provides a solid foundation of basic neural network concepts. It contains an overview of neural network architectures for practical data analysis followed by extensive step-by-step coverage

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 -

Engineering Applications of Neural Networks

Engineering Applications of Neural Networks
  • Author : Elias Pimenidis,Chrisina Jayne
  • Publisher : Springer
  • Release : 20 August 2018
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 2018, held in Bristol, UK, in September 2018. The 16 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on activity recognition, deep learning, extreme learning machine, machine learning applications, predictive models, fuzzy and recommender systems, recurrent neural networks, spiking neural networks.

Engineering Applications of FPGAs

Engineering Applications of FPGAs
  • Author : Esteban Tlelo-Cuautle,José de Jesús Rangel-Magdaleno,Luis Gerardo de la Fraga
  • Publisher : Springer
  • Release : 28 May 2016
GET THIS BOOKEngineering Applications of FPGAs

This book offers readers a clear guide to implementing engineering applications with FPGAs, from the mathematical description to the hardware synthesis, including discussion of VHDL programming and co-simulation issues. Coverage includes FPGA realizations such as: chaos generators that are described from their mathematical models; artificial neural networks (ANNs) to predict chaotic time series, for which a discussion of different ANN topologies is included, with different learning techniques and activation functions; random number generators (RNGs) that are realized using different chaos

Artificial Neural Networks

Artificial Neural Networks
  • Author : Nicolaos Karayiannis,Anastasios N. Venetsanopoulos
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2013
GET THIS BOOKArtificial Neural Networks

1.1 Overview We are living in a decade recently declared as the "Decade of the Brain". Neuroscientists may soon manage to work out a functional map of the brain, thanks to technologies that open windows on the mind. With the average human brain consisting of 15 billion neurons, roughly equal to the number of stars in our milky way, each receiving signals through as many as 10,000 synapses, it is quite a view. "The brain is the last and greatest biological frontier", says