Engineering Applications Of Neural Networks
Download Engineering Applications Of Neural Networks full books in PDF, epub, and Kindle. Read online free Engineering Applications Of Neural Networks ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads.
Author |
: Alma Y Alanis |
Publisher |
: Academic Press |
Total Pages |
: 176 |
Release |
: 2019-02-13 |
ISBN-10 |
: 9780128182475 |
ISBN-13 |
: 0128182474 |
Rating |
: 4/5 (75 Downloads) |
Synopsis Artificial Neural Networks for Engineering Applications by : Alma Y Alanis
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.
Author |
: Giacomo Boracchi |
Publisher |
: Springer |
Total Pages |
: 739 |
Release |
: 2017-07-30 |
ISBN-10 |
: 9783319651729 |
ISBN-13 |
: 3319651722 |
Rating |
: 4/5 (29 Downloads) |
Synopsis Engineering Applications of Neural Networks by : Giacomo Boracchi
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 papers presented at the 6th Mining Humanistic Data Workshop (MHDW 2017) and the 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE).
Author |
: John Macintyre |
Publisher |
: Springer |
Total Pages |
: 554 |
Release |
: 2019-05-14 |
ISBN-10 |
: 9783030202576 |
ISBN-13 |
: 3030202577 |
Rating |
: 4/5 (76 Downloads) |
Synopsis Engineering Applications of Neural Networks by : John Macintyre
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.
Author |
: M A Hussain |
Publisher |
: World Scientific |
Total Pages |
: 423 |
Release |
: 2001-04-02 |
ISBN-10 |
: 9781783261482 |
ISBN-13 |
: 178326148X |
Rating |
: 4/5 (82 Downloads) |
Synopsis Application Of Neural Networks And Other Learning Technologies In Process Engineering by : M A Hussain
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.
Author |
: Xingui He |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 240 |
Release |
: 2010-07-05 |
ISBN-10 |
: 9783540737629 |
ISBN-13 |
: 3540737626 |
Rating |
: 4/5 (29 Downloads) |
Synopsis Process Neural Networks by : Xingui He
For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping relationship between the input and output of traditional neural networks and greatly enhances the expression capability of artificial neural networks. Detailed illustrations help you visualize information processing flow and the mapping relationship between inputs and outputs.
Author |
: Zhang, Ming |
Publisher |
: IGI Global |
Total Pages |
: 660 |
Release |
: 2010-02-28 |
ISBN-10 |
: 9781615207121 |
ISBN-13 |
: 1615207120 |
Rating |
: 4/5 (21 Downloads) |
Synopsis Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications by : Zhang, Ming
"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.
Author |
: Lazaros Iliadis |
Publisher |
: Springer Nature |
Total Pages |
: 630 |
Release |
: 2020-05-27 |
ISBN-10 |
: 9783030487911 |
ISBN-13 |
: 3030487911 |
Rating |
: 4/5 (11 Downloads) |
Synopsis Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference by : Lazaros Iliadis
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.
Author |
: Christos Christodoulou |
Publisher |
: Artech House Publishers |
Total Pages |
: 544 |
Release |
: 2001 |
ISBN-10 |
: UOM:39015049999033 |
ISBN-13 |
: |
Rating |
: 4/5 (33 Downloads) |
Synopsis Applications of Neural Networks in Electromagnetics by : Christos Christodoulou
The high-speed capabilities and learning abilities of neural networks can be applied to quickly solving numerous complex optimization problems in electromagnetics, and this book shows you how. Even if you have no background in neural networks, this book helps you understand the basics of each main network architecture in use today, including its strengths and limitations. Moreover, it gives you the knowledge you need to identify situations when the use of neural networks is the best problem-solving option.
Author |
: Adedeji Bodunde Badiru |
Publisher |
: John Wiley & Sons |
Total Pages |
: 313 |
Release |
: 2002-10-08 |
ISBN-10 |
: 9780471275343 |
ISBN-13 |
: 0471275344 |
Rating |
: 4/5 (43 Downloads) |
Synopsis Fuzzy Engineering Expert Systems with Neural Network Applications by : Adedeji Bodunde Badiru
Provides an up-to-date integration of expert systems with fuzzy logic and neural networks. Includes coverage of simulation models not present in other books. Presents cases and examples taken from the authors' experience in research and applying the technology to real-world situations.
Author |
: Huajin Tang |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 310 |
Release |
: 2007-03-12 |
ISBN-10 |
: 9783540692256 |
ISBN-13 |
: 3540692258 |
Rating |
: 4/5 (56 Downloads) |
Synopsis Neural Networks: Computational Models and Applications by : Huajin Tang
Neural Networks: Computational Models and Applications presents important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems, and image segmentation. The book offers a compact, insightful understanding of the broad and rapidly growing neural networks domain.