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Optimal Groundwater Remediation Using Artificial Neural Networks And The Genetic Algorithm
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Book Synopsis Optimal Groundwater Remediation Using Artificial Neural Networks and the Genetic Algorithm by : Leah Lucille Rogers
Download or read book Optimal Groundwater Remediation Using Artificial Neural Networks and the Genetic Algorithm written by Leah Lucille Rogers and published by . This book was released on 1992 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimal Groundwater Remediation Using Artificial Neural Networks and the Genetic Algorithm by :
Download or read book Optimal Groundwater Remediation Using Artificial Neural Networks and the Genetic Algorithm written by and published by . This book was released on 1992 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: An innovative computational approach for the optimization of groundwater remediation is presented which uses artificial neural networks (ANNs) and the genetic algorithm (GA). In this approach, the ANN is trained to predict an aspect of the outcome of a flow and transport simulation. Then the GA searches through realizations or patterns of pumping and uses the trained network to predict the outcome of the realizations. This approach has advantages of parallel processing of the groundwater simulations and the ability to ''recycle'' or reuse the base of knowledge formed by these simulations. These advantages offer reduction of computational burden of the groundwater simulations relative to a more conventional approach which uses nonlinear programming (NLP) with a quasi-newtonian search. Also the modular nature of this approach facilitates substitution of different groundwater simulation models.
Book Synopsis Optimal Field-scale Groundwater Remediation Using Neural Networks and the Genetic Algorithm by :
Download or read book Optimal Field-scale Groundwater Remediation Using Neural Networks and the Genetic Algorithm written by and published by . This book was released on 1993 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present a new approach for field-scale nonlinear management of groundwater remediation. First, an artificial neural network (ANN) is trained to predict the outcome of a groundwater transport simulation. Then a genetic algorithm (GA) searches through possible pumping realizations, evaluating the fitness of each with a prediction from the trained ANN. Traditional approaches rely on optimization algorithms requiring sequential calls of the groundwater transport simulation. Our approach processes the transport simulations in parallel and ''recycles'' the knowledge base of these simulations, greatly reducing the computational and real-time burden, often the primary impediment to developing field-scale management models. We present results from a Superfund site suggesting that such management techniques can reduce cleanup costs by over a hundred million dollars.
Book Synopsis Groundwater Remediation Optimization Using Artificial Neural Networks by :
Download or read book Groundwater Remediation Optimization Using Artificial Neural Networks written by and published by . This book was released on 1998 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: One continuing point of research in optimizing groundwater quality management is reduction of computational burden which is particularly limiting in field-scale applications. Often evaluation of a single pumping strategy, i.e. one call to the groundwater flow and transport model (GFTM) may take several hours on a reasonably fast workstation. For computational flexibility and efficiency, optimal groundwater remediation design at Lawrence Livermore National Laboratory (LLNL) has relied on artificial neural networks (ANNS) trained to approximate the outcome of 2-D field-scale, finite difference/finite element GFTMs. The search itself has been directed primarily by the genetic algorithm (GA) or the simulated annealing (SA) algorithm. This approach has advantages of (1) up to a million fold increase in speed of remediation pattern assessment during the searches and sensitivity analyses for the 2-D LLNL work, (2) freedom from sequential runs of the GFTM (enables workstation farming), and (3) recycling of the knowledge base (i.e. runs of the GFTM necessary to train the ANNS). Reviewed here are the background and motivation for such work, recent applications, and continuing issues of research.
Book Synopsis Optimal Groundwater Management and Inverse Analysis Using Genetic Algorithm and Artificial Neural Network by : Jahangir Morshed
Download or read book Optimal Groundwater Management and Inverse Analysis Using Genetic Algorithm and Artificial Neural Network written by Jahangir Morshed and published by . This book was released on 1997 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Genetic Algorithms and Engineering Optimization by : Mitsuo Gen
Download or read book Genetic Algorithms and Engineering Optimization written by Mitsuo Gen and published by John Wiley & Sons. This book was released on 1999-12-28 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Im Mittelpunkt dieses Buches steht eines der wichtigsten Optimierungsverfahren der industriellen Ingenieurtechnik: Mit Hilfe genetischer Algorithmen lassen sich Qualität, Design und Zuverlässigkeit von Produkten entscheidend verbessern. Das Verfahren beruht auf der Wahrscheinlichkeitstheorie und lehnt sich an die Prinzipien der biologischen Vererbung an: Die Eigenschaften des Produkts werden, unter Beachtung der äußeren Randbedingungen, schrittweise optimiert. Ein hochaktueller Band international anerkannter Autoren. (03/00)
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.
Book Synopsis The Practical Handbook of Genetic Algorithms by : Lance D. Chambers
Download or read book The Practical Handbook of Genetic Algorithms written by Lance D. Chambers and published by CRC Press. This book was released on 2019-09-17 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organism
Book Synopsis A Self-adaptive Hybrid Genetic Algorithm for Optimal Groundwater Remediation Design by : Felipe Patricio Espinoza
Download or read book A Self-adaptive Hybrid Genetic Algorithm for Optimal Groundwater Remediation Design written by Felipe Patricio Espinoza and published by . This book was released on 2003 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks by : Farid U. Dowla
Download or read book Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks written by Farid U. Dowla and published by MIT Press. This book was released on 1995 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, complete with exercises and ANN algorithms, illustrates how ANNs can be used in solving problems in environmental engineering and the geosciences, and provides the necessary tools to get started using these elegant and efficient new techniques.
Book Synopsis Groundwater Optimization Handbook by : Richard C. Peralta
Download or read book Groundwater Optimization Handbook written by Richard C. Peralta and published by CRC Press. This book was released on 2012-04-26 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: Existing and impending water shortages argue for improving water quantity and quality management. Groundwater Optimization Handbook: Flow, Contaminant Transport, and Conjunctive Management helps you formulate and solve groundwater optimization problems to ensure sustainable supplies of adequate quality and quantity. It shows you how to more effectively use simulation-optimization (S-O) modeling, an economically valuable groundwater management tool that couples simulation models with mathematical optimization techniques. Written for readers of varying familiarity with groundwater hydrology and mathematical optimization, the handbook approaches complex problems realistically. Its techniques have been applied in many legal settings, with produced strategies providing up to 57% improvement over those developed without S-O modeling. These techniques supply constructible designs, planning and management strategies, and metrics for performance-based contracts. Learn how to: Recognize opportunities for applying S-O models Lead client, agency, and consultant personnel through the strategy design and adaptation process Formulate common situations as clear deterministic/stochastic and single/multiobjective mathematical optimization problems Distinguish between problem nonlinearities resulting from physical system characteristics versus management goals Create an S-O model appropriate for your specific needs or select an existing transferrable model Develop acceptable feasible solutions and compute optimal solutions Quantify tradeoffs between multiple objectives Evaluate and adapt a selected optimal strategy, or use it as a metric for comparison Drawing on the author’s numerous real-world designs and more than 30 years of research, consulting, and teaching experience, this practical handbook supplies design procedures, detailed flowcharts, solved problems, lessons learned, and diverse applications. It guides you through the maze of multiple objectives, constraints, and uncertainty to calculate the best strategies for managing flow, contamination, and conjunctive use of groundwater and surface water. Ancillary materials are available from the Downloads tab on the book page at www.crcpress.com.
Book Synopsis Knowledge-Based Intelligent Information and Engineering Systems by : Ignac Lovrek
Download or read book Knowledge-Based Intelligent Information and Engineering Systems written by Ignac Lovrek and published by Springer Science & Business Media. This book was released on 2008-08-18 with total page 1079 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation The three volume set LNAI 5177, LNAI 5178, and LNAI 5179, constitutes the refereed proceedings of the 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, held in Zagreb, Croatia, in September 2008. The 316 revised papers presented were carefully reviewed and selected. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the first volume are artificial neural networks and connectionists systems; fuzzy and neuro-fuzzy systems; evolutionary computation; machine learning and classical AI; agent systems; knowledge based and expert systems; intelligent vision and image processing; knowledge management, ontologies, and data mining; Web intelligence, text and multimedia mining and retrieval; and intelligent robotics and control.
Book Synopsis Calibration and Reliability in Groundwater Modelling by : Fritz Stauffer
Download or read book Calibration and Reliability in Groundwater Modelling written by Fritz Stauffer and published by . This book was released on 2000 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Hydroinformatics written by Praveen Kumar and published by CRC Press. This book was released on 2005-11-02 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern hydrology is more interdisciplinary than ever. Staggering amounts and varieties of information pour in from GIS and remote sensing systems every day, and this information must be collected, interpreted, and shared efficiently. Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling introduces the tools, approache
Book Synopsis Groundwater in the Nile Delta by : Abdelazim M. Negm
Download or read book Groundwater in the Nile Delta written by Abdelazim M. Negm and published by Springer. This book was released on 2018-12-28 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume offers an up-to-date overview of all the main aspects of groundwater in the Nile Delta and its fringes, as well as latest research findings. The themes covered include: · Nile Delta aquifer formation and its characteristics · The use of the groundwater in the Nile Delta and its implications · Sedimentology and hydrogeophysical characteristics · Groundwater investigations and aquifer characterization using current direct resistivity and induced polarization · Groundwater contamination and degradation · Saltwater intrusion and its control · Delineation of groundwater flow and seawater intrusion using various techniques, including one-dimensional subsurface temperature profiles, geoelectrical resistivity, and integrated subsurface thermal regime and hydrogeochemical data · Modeling of groundwater and of saltwater intrusion in the Nile Delta aquifer · Excessive pumping and groundwater quality assessment for irrigation and drinking purposes · Groundwater management for sustainability in the Nile Delta. The volume appeals to postgraduate students, researchers, scientists, professionals, decision makers and planners.
Book Synopsis Field Sampling Methods for Remedial Investigations by : Mark Edward Byrnes
Download or read book Field Sampling Methods for Remedial Investigations written by Mark Edward Byrnes and published by CRC Press. This book was released on 2022-09-28 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1994, the first edition of Field Sampling Methods for Remedial Investigations soon became a premier resource in this field. The "Princeton Groundwater" course designated it as one of the top books on the market that addresses strategies for groundwater characterization, groundwater well installation, well completion, and groundwater sampling. This long awaited third edition provides most current and most cost-effective environmental media characterization methods and approaches supporting all aspects of remediation activities. This book integrates recommendations from over one hundred of the most current US EPA, State EPA, US Geological Survey, US Army Corps of Engineers, and National Laboratory environmental guidance and/or technical documents. This book provides guidance, examples, and/or case studies for the following subjects: Implementing the EPA’s latest Data Quality Objectives process Developing cost effective statistical & non-statistical sampling designs supporting all aspects of environmental remediation activities, and available statistical sample design software Aerial photography, surface geophysics, airborne/surface/downhole/building radiological surveys, soil gas surveying, environmental media sampling, DNAPL screening, portable X-ray fluorescence measurements Direct push groundwater sampling, well installation, well development, well purging, no-purge/low-flow/standard groundwater sampling, depth-discrete ground sampling, groundwater modeling Tracer testing, slug testing, waste container and building material sampling, pipe surveying, defining background conditions Documentation, quality control sampling, data verification/validation, data quality assessment, decontamination, health & safety, management of investigation waste A recognized expert on this subject, author Mark Byrnes provides standard operating procedures and guidance on the proper implementation of these methods, focusing on proven technologies that are acknowledged by EPA and State regulatory agencies as reputable techniques.
Book Synopsis Optimal Groundwater Remediation System Design with Well Locations Selected as Decision Variables by : Mustafa M. Aral
Download or read book Optimal Groundwater Remediation System Design with Well Locations Selected as Decision Variables written by Mustafa M. Aral and published by . This book was released on 1997 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
