Advances In Artificial Neural Networks With Applications In Surface And Subsurface Hydrology

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Advances in Artificial Neural Networks with Applications in Surface and Subsurface Hydrology

Author : Lance E. Besaw
Publisher :
ISBN 13 :
Total Pages : 458 pages
Book Rating : 4.:/5 (464 download)

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Book Synopsis Advances in Artificial Neural Networks with Applications in Surface and Subsurface Hydrology by : Lance E. Besaw

Download or read book Advances in Artificial Neural Networks with Applications in Surface and Subsurface Hydrology written by Lance E. Besaw and published by . This book was released on 2009 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this dissertation, we develop, modify and apply artificial neural networks (ANNs) to solve complex problems in surface and subsurface hydrology. Parametric statistical and physics-based models are widely used for conditional simulation, classifying, clustering and mining data as well as state-variable, parameter and time-series estimation. However, many environmental datasets comprise enormous amounts of multiple data types (continuous, nominal and categorical), represente different spatio-temporal scales, and do not conform to parametric assumptions. In addition, resources are not typically available to develop and calibrate appropriate physics-based (or other traditional) models. Given the abundance of information collected about the Earth and its human-induced changes, data-driven ANNs provide computational tools to understand and improve the way we make decisions about natural resources. Four different ANNs are developed and applied to data fi-om real-world environmental engineering problems.

Soft Computing in Water Resources Engineering

Author : G. Tayfur
Publisher : WIT Press
ISBN 13 : 1845646363
Total Pages : 289 pages
Book Rating : 4.8/5 (456 download)

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Book Synopsis Soft Computing in Water Resources Engineering by : G. Tayfur

Download or read book Soft Computing in Water Resources Engineering written by G. Tayfur and published by WIT Press. This book was released on 2014-11-02 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineers have attempted to solve water resources engineering problems with the help of empirical, regression-based and numerical models. Empirical models are not universal, nor are regression-based models. The numerical models are, on the other hand, physics-based but require substantial data measurement and parameter estimation. Hence, there is a need to employ models that are robust, user-friendly, and practical and that do not have the shortcomings of the existing methods. Artificial intelligence methods meet this need. Soft Computing in Water Resources Engineering introduces the basics of artificial neural networks (ANN), fuzzy logic (FL) and genetic algorithms (GA). It gives details on the feed forward back propagation algorithm and also introduces neuro-fuzzy modelling to readers. Artificial intelligence method applications covered in the book include predicting and forecasting floods, predicting suspended sediment, predicting event-based flow hydrographs and sedimentographs, locating seepage path in an earth-fill dam body, and the predicting dispersion coefficient in natural channels. The author also provides an analysis comparing the artificial intelligence models and contemporary non-artificial intelligence methods (empirical, numerical, regression, etc.). The ANN, FL, and GA are fairly new methods in water resources engineering. The first publications appeared in the early 1990s and quite a few studies followed in the early 2000s. Although these methods are currently widely known in journal publications, they are still very new for many scientific readers and they are totally new for students, especially undergraduates. Numerical methods were first taught at the graduate level but are now taught at the undergraduate level. There are already a few graduate courses developed on AI methods in engineering and included in the graduate curriculum of some universities. It is expected that these courses, too, will soon be taught at the undergraduate levels.

Advances in Subsurface Data Analytics

Author : Shuvajit Bhattacharya
Publisher : Elsevier
ISBN 13 : 0128223081
Total Pages : 378 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Advances in Subsurface Data Analytics by : Shuvajit Bhattacharya

Download or read book Advances in Subsurface Data Analytics written by Shuvajit Bhattacharya and published by Elsevier. This book was released on 2022-05-18 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches brings together the fundamentals of popular and emerging machine learning (ML) algorithms with their applications in subsurface analysis, including geology, geophysics, petrophysics, and reservoir engineering. The book is divided into four parts: traditional ML, deep learning, physics-based ML, and new directions, with an increasing level of diversity and complexity of topics. Each chapter focuses on one ML algorithm with a detailed workflow for a specific application in geosciences. Some chapters also compare the results from an algorithm with others to better equip the readers with different strategies to implement automated workflows for subsurface analysis. Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches will help researchers in academia and professional geoscientists working on the subsurface-related problems (oil and gas, geothermal, carbon sequestration, and seismology) at different scales to understand and appreciate current trends in ML approaches, their applications, advances and limitations, and future potential in geosciences by bringing together several contributions in a single volume. Covers fundamentals of simple machine learning and deep learning algorithms, and physics-based approaches written by practitioners in academia and industry Presents detailed case studies of individual machine learning algorithms and optimal strategies in subsurface characterization around the world Offers an analysis of future trends in machine learning in geosciences

Artificial Neural Networks for Civil Engineers

Author : Ian Flood
Publisher : ASCE Publications
ISBN 13 : 9780784474464
Total Pages : 300 pages
Book Rating : 4.4/5 (744 download)

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Book Synopsis Artificial Neural Networks for Civil Engineers by : Ian Flood

Download or read book Artificial Neural Networks for Civil Engineers written by Ian Flood and published by ASCE Publications. This book was released on 1998-01-01 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Practical Hydroinformatics

Author : Robert J. Abrahart
Publisher : Springer Science & Business Media
ISBN 13 : 3540798811
Total Pages : 495 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Practical Hydroinformatics by : Robert J. Abrahart

Download or read book Practical Hydroinformatics written by Robert J. Abrahart and published by Springer Science & Business Media. This book was released on 2008-10-24 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hydroinformatics is an emerging subject that is expected to gather speed, momentum and critical mass throughout the forthcoming decades of the 21st century. This book provides a broad account of numerous advances in that field - a rapidly developing discipline covering the application of information and communication technologies, modelling and computational intelligence in aquatic environments. A systematic survey, classified according to the methods used (neural networks, fuzzy logic and evolutionary optimization, in particular) is offered, together with illustrated practical applications for solving various water-related issues. ...

Artificial Neural Networks

Author : Kenji Suzuki
Publisher : IntechOpen
ISBN 13 : 9789535109358
Total Pages : 266 pages
Book Rating : 4.1/5 (93 download)

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Book Synopsis Artificial Neural Networks by : Kenji Suzuki

Download or read book Artificial Neural Networks written by Kenji Suzuki and published by IntechOpen. This book was released on 2013-01-16 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 architectures, methodologies, and applications of artificial neural networks. The book consists of two parts: the architecture part covers architectures, design, optimization, and analysis of artificial neural networks; the applications part covers applications of artificial neural networks in a wide range of areas including biomedical, industrial, physics, and financial applications. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks. The target audience of this book includes college and graduate students, and engineers in companies.

Artificial Intelligence Applications in Water Treatment and Water Resource Management

Author : Shikuku, Victor
Publisher : IGI Global
ISBN 13 : 1668467933
Total Pages : 289 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Artificial Intelligence Applications in Water Treatment and Water Resource Management by : Shikuku, Victor

Download or read book Artificial Intelligence Applications in Water Treatment and Water Resource Management written by Shikuku, Victor and published by IGI Global. This book was released on 2023-08-25 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emergence of a plethora of water contaminants as a result of industrialization has introduced complexity to water treatment processes. Such complexity may not be easily resolved using deterministic approaches. Artificial intelligence (AI) has found relevance and applications in almost all sectors and academic disciplines, including water treatment and management. AI provides dependable solutions in the areas of optimization, suspect screening or forensics, classification, regression, and forecasting, all of which are relevant for water research and management. Artificial Intelligence Applications in Water Treatment and Water Resource Management explores the different AI techniques and their applications in wastewater treatment and water management. The book also considers the benefits, challenges, and opportunities for future research. Covering key topics such as water wastage, irrigation, and energy consumption, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Artificial Neural Networks in Water Supply Engineering

Author : Srinivasa Lingireddy
Publisher : ASCE Publications
ISBN 13 : 9780784475607
Total Pages : 196 pages
Book Rating : 4.4/5 (756 download)

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Book Synopsis Artificial Neural Networks in Water Supply Engineering by : Srinivasa Lingireddy

Download or read book Artificial Neural Networks in Water Supply Engineering written by Srinivasa Lingireddy and published by ASCE Publications. This book was released on 2005-01-01 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepared by the Water Supply Engineering Technical Committee of the Infrastructure Council of the Environmental and Water Resources Institute of ASCE. This report examines the application of artificial neural network (ANN) technology to water supply engineering problems. Although ANN has rarely been used in in this area, those who have done so report findings that were beyond the capability of traditional statistical and mathematical modeling tools. This report describes the availability of diverse applications, along with the basics of neural network modeling, and summarizes the experiences of groups of researchers around the world who successfully demonstrated significant benefits from using ANN technology in water supply engineering. Topics include: Forecasting salinity levels in River Murray, South Australia; Predicting gastroenteritis rates and waterborne outbreaks; Modeling pH levels in a eutrophic Middle Loire River, France; and ANNs as function approximation tools replacing rigorous mathematical simulation models for analyzing water distribution networks.

Artificial Neural Networks in Hydrology

Author : R.S. Govindaraju
Publisher : Springer Science & Business Media
ISBN 13 : 9401593418
Total Pages : 338 pages
Book Rating : 4.4/5 (15 download)

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Book Synopsis Artificial Neural Networks in Hydrology by : R.S. Govindaraju

Download or read book Artificial Neural Networks in Hydrology written by R.S. Govindaraju and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: R. S. GOVINDARAJU and ARAMACHANDRA RAO School of Civil Engineering Purdue University West Lafayette, IN. , USA Background and Motivation The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron. Research in this field remained somewhat dormant in the early years, perhaps because of the limited capabilities of this method and because there was no clear indication of its potential uses. However, interest in this area picked up momentum in a dramatic fashion with the works of Hopfield (1982) and Rumelhart et al. (1986). Not only did these studies place artificial neural networks on a firmer mathematical footing, but also opened the dOOf to a host of potential applications for this computational tool. Consequently, neural network computing has progressed rapidly along all fronts: theoretical development of different learning algorithms, computing capabilities, and applications to diverse areas from neurophysiology to the stock market. . Initial studies on artificial neural networks were prompted by adesire to have computers mimic human learning. As a result, the jargon associated with the technical literature on this subject is replete with expressions such as excitation and inhibition of neurons, strength of synaptic connections, learning rates, training, and network experience. ANNs have also been referred to as neurocomputers by people who want to preserve this analogy.

Neural Networks for Hydrological Modeling

Author : Robert Abrahart
Publisher : CRC Press
ISBN 13 : 0203024117
Total Pages : 316 pages
Book Rating : 4.2/5 (3 download)

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Book Synopsis Neural Networks for Hydrological Modeling by : Robert Abrahart

Download or read book Neural Networks for Hydrological Modeling written by Robert Abrahart and published by CRC Press. This book was released on 2004-05-15 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new approach to the fast-developing world of neural hydrological modelling, this book is essential reading for academics and researchers in the fields of water sciences, civil engineering, hydrology and physical geography. Each chapter has been written by one or more eminent experts working in various fields of hydrological modelling. The b

Applications of Artificial Neural Networks in Hydrology (abstract)

Author : A. W. Minns
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (66 download)

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Book Synopsis Applications of Artificial Neural Networks in Hydrology (abstract) by : A. W. Minns

Download or read book Applications of Artificial Neural Networks in Hydrology (abstract) written by A. W. Minns and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Broadening the Use of Machine Learning in Hydrology

Author : Chaopeng Shen
Publisher : Frontiers Media SA
ISBN 13 : 2889669823
Total Pages : 163 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Broadening the Use of Machine Learning in Hydrology by : Chaopeng Shen

Download or read book Broadening the Use of Machine Learning in Hydrology written by Chaopeng Shen and published by Frontiers Media SA. This book was released on 2021-07-08 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Deep Learning for Hydrometeorology and Environmental Science

Author : Taesam Lee
Publisher : Springer Nature
ISBN 13 : 3030647773
Total Pages : 215 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Deep Learning for Hydrometeorology and Environmental Science by : Taesam Lee

Download or read book Deep Learning for Hydrometeorology and Environmental Science written by Taesam Lee and published by Springer Nature. This book was released on 2021-01-27 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g. streamflow and temperature) and environmental science (e.g. water quality). Deep learning is known as part of machine learning methodology based on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to hydrometeorological and environmental fields. However, books that specifically focus on applications to these fields are limited. Most of deep learning books demonstrate theoretical backgrounds and mathematics. However, examples with real data and step-by-step explanations to understand the algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and their applications to hydrometeorological and environmental studies with real hydrological and environmental data. This book covers the major deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN) as well as the conventional artificial neural network model.

Geophysical Applications of Artificial Neural Networks and Fuzzy Logic

Author : W. Sandham
Publisher : Springer Science & Business Media
ISBN 13 : 9401702713
Total Pages : 336 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Geophysical Applications of Artificial Neural Networks and Fuzzy Logic by : W. Sandham

Download or read book Geophysical Applications of Artificial Neural Networks and Fuzzy Logic written by W. Sandham and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking; lithology prediction and well-log analysis; prospect appraisal; hydrocarbon prediction; inversion; reservoir characterisation; quality assessment; tomography). 2. Earthquake Seismology and Subterranean Nuclear Explosions. 3. Mineral Exploration. 4. Electromagnetic I Potential Field Exploration. (a) Electromagnetic methods, (b) Potential field methods, (c) Ground penetrating radar, (d) Remote sensing, (e) inversion.

Handbook of HydroInformatics

Author : Saeid Eslamian
Publisher : Elsevier
ISBN 13 : 0128219505
Total Pages : 420 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Handbook of HydroInformatics by : Saeid Eslamian

Download or read book Handbook of HydroInformatics written by Saeid Eslamian and published by Elsevier. This book was released on 2022-12-06 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced machine learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode. This is an interdisciplinary book, and the audience includes postgraduates and early-career researchers interested in: Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, Chemical Engineering. Key insights from 24 contributors in the fields of data management research, climate change and resilience, insufficient data problem, etc. Offers applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison. Defines both the designing of good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees.

Constructed Subsurface Wetlands

Author : Abdel Razik Ahmed Zidan
Publisher : CRC Press
ISBN 13 : 1315341670
Total Pages : 650 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Constructed Subsurface Wetlands by : Abdel Razik Ahmed Zidan

Download or read book Constructed Subsurface Wetlands written by Abdel Razik Ahmed Zidan and published by CRC Press. This book was released on 2018-01-03 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a sharp focus on environmental pollution and its impact on life and nature, scientists and engineers have studied the water treatment effect of natural wetlands for many years, resulting in the development of constructed wetlands (CWs) for treating wastewater. This informative new book provides current information and guidance on the construction, performance, operation, and maintenance of subsurface flow constructed wetlands of domestic and municipal wastewater. The focus of the volume is to evaluate the performance of horizontal subsurface flow constructed wetlands in treating domestic wastewater to establish the limit that can be safely discharged to agricultural drains. Two-step procedures were used for the preparation of this book. Using modeling and statistical analyses of treated water samples showed a significant difference between different media for the treatment of most pollutants. The authors went on to design artificial neural network models (ANNs) using Matlab software to simulate some of the experimental data and to anticipate the parameters of output concentration. The wetland systems have the ability to deal with various pollutants with different concentrations and to decrease the treated water to the standard limits. This volume presents the main role of emergent plants for treatment performance in the constructed wetlands and will be a very important resource for engineers in this field as well as for both undergraduate and graduate students.

Stochastic Modeling in Hydrogeology

Author : J. Jaime Gómez-Hernández
Publisher : Frontiers Media SA
ISBN 13 : 2889710378
Total Pages : 180 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Stochastic Modeling in Hydrogeology by : J. Jaime Gómez-Hernández

Download or read book Stochastic Modeling in Hydrogeology written by J. Jaime Gómez-Hernández and published by Frontiers Media SA. This book was released on 2021-07-14 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. Andres Alcolea is employed by Geo-Energie Suisse AG and is the funder and CEO of HydroGeoModels. All other Topic Editors declare no competing interests with regards to the Research Topic subject