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Advanced Applications For Artificial Neural Networks

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Advanced Applications For Artificial Neural Networks

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Author : Adel El-Shahat
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-02-28

Advanced Applications For Artificial Neural Networks written by Adel El-Shahat and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-28 with Computers categories.

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.

Advanced Applications For Artificial Neural Networks

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Author : Adel El-Shahat
language : en
Publisher:
Release Date : 2018

Advanced Applications For Artificial Neural Networks written by Adel El-Shahat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Electronic computers. Computer science categories.

Artificial Neural Networks

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Author : S. K. Rao
language : en
Publisher: Discovery Publishing House Pvt Limited
Release Date : 2024-01-04

Artificial Neural Networks written by S. K. Rao and has been published by Discovery Publishing House Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-04 with Fiction categories.

Artificial neural networks (ANNs) have gained immense popularity and proven to be valuable models for various tasks such as classification, clustering, pattern recognition, and prediction across multiple disciplines. As a type of machine learning (ML) model, ANNs have emerged as strong competitors to conventional regression and statistical models in terms of their utility and effectiveness.This book explores the latest advancements in the field, providing readers with a deeper understanding of their applications and potential. With its practical approach and insightful examples, it is an invaluable resource for researchers and practitioners in the field of artificial intelligence.

Artificial Neural Networks For Civil Engineers

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Author : Ian Flood
language : en
Publisher: ASCE Publications
Release Date : 1998-01-01

Artificial Neural Networks For Civil Engineers written by Ian Flood and has been published by ASCE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-01-01 with Technology & Engineering categories.

Sponsored by the Committee on Expert Systems and Artificial Intelligence of the Technical Council on Computer Practices of ASCE. This report illustrates advanced methods and new developments in the application of artificial neural networks to solve problems in civil engineering.Ø Topics include: Øevaluating new construction technologies; Øusing multi-layeredØartificial neural networkØarchitecture to overcome problems with conventional traffic signal control systems; Øincreasing the computational efficiency of an optimization model; Øpredicting carbonation depth in concrete structures; Ødetecting defects in concrete piles; Øanalyzing pavement systems; Øusing neural network hybrids to select the most appropriate bidders for a construction project; and Øpredicting the Energy Performance Index of residential buildings. ØMany of the ideas and techniques discussed in this book cross across disciplinary boundaries and, therefore, should be of interest to all civil engineers.

Artificial Neural Network Applications In Business And Engineering

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Author : Do, Quang Hung
language : en
Publisher: IGI Global
Release Date : 2021-01-08

Artificial Neural Network Applications In Business And Engineering written by Do, Quang Hung and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-08 with Computers categories.

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.

Artificial Neural Networks For Civil Engineers

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Author : Ian Flood
language : en
Publisher: Amer Society of Civil Engineers
Release Date : 1998-01-01

Artificial Neural Networks For Civil Engineers written by Ian Flood and has been published by Amer Society of Civil Engineers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-01-01 with Technology & Engineering categories.

Artificial neural networks represent a broad and rapidly developing technology featuring new systems and novel ways of applying established systems. This monograph illustrates advanced methods and recent developments in applying artificial neural network concepts in civil engineering.

Artificial Neural Networks

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Author : Kenji Suzuki
language : en
Publisher: BoD – Books on Demand
Release Date : 2011-04-11

Artificial Neural Networks written by Kenji Suzuki and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-11 with Computers categories.

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 in various areas. The purpose of this book is to provide recent advances of artificial neural networks in biomedical applications. The book begins with fundamentals of artificial neural networks, which cover an introduction, design, and optimization. Advanced architectures for biomedical applications, which offer improved performance and desirable properties, follow. Parts continue with biological applications such as gene, plant biology, and stem cell, medical applications such as skin diseases, sclerosis, anesthesia, and physiotherapy, and clinical and other applications such as clinical outcome, telecare, and pre-med student failure prediction. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in biomedical areas. The target audience includes professors and students in engineering and medical schools, researchers and engineers in biomedical industries, medical doctors, and healthcare professionals.

Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition

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Author : Graupe Daniel
language : en
Publisher: World Scientific
Release Date : 2019-03-15

Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition written by Graupe Daniel and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Computers categories.

The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.

Advanced Deep Learning With Python

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Author : Ivan Vasilev
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-12-12

Advanced Deep Learning With Python written by Ivan Vasilev and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-12 with Computers categories.

Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystem Key FeaturesGet to grips with building faster and more robust deep learning architecturesInvestigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorchApply deep neural networks (DNNs) to computer vision problems, NLP, and GANsBook Description In order to build robust deep learning systems, you’ll need to understand everything from how neural networks work to training CNN models. In this book, you’ll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application. You’ll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you’ll focus on variational autoencoders and GANs. You’ll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You’ll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you’ll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you’ll understand how to apply deep learning to autonomous vehicles. By the end of this book, you’ll have mastered key deep learning concepts and the different applications of deep learning models in the real world. What you will learnCover advanced and state-of-the-art neural network architecturesUnderstand the theory and math behind neural networksTrain DNNs and apply them to modern deep learning problemsUse CNNs for object detection and image segmentationImplement generative adversarial networks (GANs) and variational autoencoders to generate new imagesSolve natural language processing (NLP) tasks, such as machine translation, using sequence-to-sequence modelsUnderstand DL techniques, such as meta-learning and graph neural networksWho this book is for This book is for data scientists, deep learning engineers and researchers, and AI developers who want to further their knowledge of deep learning and build innovative and unique deep learning projects. Anyone looking to get to grips with advanced use cases and methodologies adopted in the deep learning domain using real-world examples will also find this book useful. Basic understanding of deep learning concepts and working knowledge of the Python programming language is assumed.

Artificial Neural Networks For Engineering Applications

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Author : Alma Y. Alanis
language : en
Publisher: Academic Press
Release Date : 2019-03-15

Artificial Neural Networks For Engineering Applications written by Alma Y. Alanis and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Science categories.

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

Advanced Applications For Artificial Neural Networks

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