Expert Systems for Environmental Applications PDF Download

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 240

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Author: Judith M. Hushon
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 248

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Washington, D.C.: American Chemical Society, 1990.

Author: Jeff R. Wright
Publisher: Springer Science & Business Media
ISBN: 3642778704
Category : Political Science
Languages : en
Pages : 326

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The connections between economics, planning, and the environment are receiv ing increased attention among scholars and policy makers in many countries. The common denominator among these three variables is the earth's life support sys tems, the ecosystems on which the world depends. When we describe our physi cal surroundings as a collection of possible uses, we are establishing linkages between economics, planning, and the environment. Because possible alternative uses compete with each other, and conflicts arise over scarce land resources, the varying environmental impacts of alternative uses are major concerns for the cur rent as well as the next generation. How to achieve sustainable development is the pressing question for today's environmental professionals. Environmental planners and engineers help us study the implications of our choices, and new technologies and techniques that improve the practice of environmental planning should enhance our ability to protect our future. The depletion of the earth's natural resources and loss of biodiversity, the deg radation of air, land, and water quality, the accumulation of greenhouse gases leading to changes in our climate, and the depletion of the ozone layer comprise only a partial list of environmental issues that concern our policy makers. To sup port their decisions, environmental planning must be a multidimensional and multidisciplinary activity that incorporates social, economic, political, geograph ical, and technical factors. Solutions for problems in these areas frequently re quire not only numerical analyses but also heuristic analyses, which in turn depend on the intuitive judgements of planners and engineers.

Author: Kurt Fedra
Publisher:
ISBN:
Category : Computer programs
Languages : en
Pages : 188

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Author: Nicholas M. Avouris
Publisher: Springer Science & Business Media
ISBN: 9401714436
Category : Technology & Engineering
Languages : en
Pages : 451

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Environmental informatics is a field of applied computer science that develops and uses the techniques of information processing for environmental protection, research and engineering. The multidisciplinary nature of environmental problems needs environmental informatics as a bridge and mediator between many disciplines and institutions. The present book presents a wide range of topics currently being pursued in the area, including basic methodological issues and typical applications. A significant number of recognised experts have contributed to the volume, discussing the methodology and application of environmental monitoring, environmental databases and information systems, GIS, modeling software, environmental management systems, knowledge-based systems, and the visualisation of complex environmental data. For scholarly and professional practitioners of environmental management who wish to acquire well-founded knowledge of environmental information processing and specialists in applied computer science who wish to learn more about the contribution of their field to the solution of our urgent environmental problems.

Author: T.J. Kim
Publisher: Springer Science & Business Media
ISBN: 1461233488
Category : Computers
Languages : en
Pages : 273

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***e FACHGEBIET*** Mathematical Geology, Computer Applications, Artificial Intelligence, Urban Economics and Regional Economics ***INTERESSENTENGRUPPE*** Of interest to Urban and Regional planners, civil engineers, geographers; computer scientists; operations researchers; landscape architects; and advanced students in the above disciplines.- Level: Technical Book, Monograph ***URHEBER*** T.J. Kim, University of Illinois, Champaign, IL; L.L. Wiggins, Massachusetts Institute of Technology, Cambridge, MA; J.R. Wright, Purdue University, Lafayette, IN (Eds.) ***TITEL*** Expert Systems: Applications to Urban Planning ***BIBLIOGRAPHISCHE-ANGABEN*** 1990. XIV, 268 pp. 48 figs. Hardcover DM 78,- ISBN 3-540-97171-8 ***LANGTEXT*** While expert systems have become a popular topic in the computing, medical and engineering fields, the expert system is still a new technology in urban planning. This book introduces expert systems for problem solving in urban planning and describes the way in which heuristic knowledge and rules of thumb of expert planners can be represented through computer programs. The book presents practical applications of expert systems for solving many important urban planning problems, particularly those issues that many practicing planners face in their daily operations. Problems and issues discussed are grouped in the following categories: - Land Use Planning - Transportation Planning - Site Selection and Analysis - Environmental Planning - Conflict Mediation and Legal Disputes - Future Developments and Directions Expert Systems: Applications to Urban Planning will benefit both urban planners who wish to learn how this new technology might be applied to their daily work as well as researchers in expert systems seeking new ideas for systems design.

Author: Henry R. Bungay
Publisher: Springer Science & Business Media
ISBN: 1461555078
Category : Science
Languages : en
Pages : 228

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Environmental Systems Engineering explains how to use new computerized tools to tackle problems in systems engineering. This book covers: expert systems, fuzzy logic, networks, process dynamics, control and statistical approaches to systems analysis. Computer simulation, mathematical models, and newer methods that apply artificial intelligence and neural networks to environmental problems are emphasized. Each book topic is supported by an interactive web site featuring computer graphics, teaching games and navigational aids. Topics are developed through the use of computer exercises using practical problems as examples.

Author: M. Arockiasamy
Publisher: CRC Press
ISBN: 9780849342172
Category : Computers
Languages : en
Pages : 184

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Engineering, medicine, computer science, mathematics, and business all use applications of expert systems for problem solving that would normally require human skill. These expert systems solve varied problems with a similar procedure - so that knowledge of their use in other specialties will inevitably benefit yours. Expert Systems: Applications for Structural, Transportation, and Environmental Engineering provides a comprehensive, concise treatment of knowledge-based expert systems that introduces you to the flavor, concepts, and capacity of this powerful procedure. Expert Systems covers preliminary design of three-dimensional grids, design systems for low rise industrial buildings, preliminary design of frameworks, bridge design systems, and retaining wall design - especially the methodologies for these applications to structural design. The author presents design standards, typical expert systems for construction engineering and management applications, and the underlying concepts of expert systems, emphasizing bridge analysis, rating, and management. He describes the methodology and applications which aid the transportation and highway engineer in planning, design, and operation and addresses several applications in the fields of environmental and water resources engineering. Automation of the advice-giving of experts is used in design, process planning, manufacturing schedule, quality control, and diagnosis by a range of disciplines. Expert Systems increases your awareness of the versatility of expert systems in these disciplines and offers the theory and algorithms you need to use expert systems in design, maintenance, and construction.

Author: Ladislav J. Kohout
Publisher: Routledge
ISBN: 0429761864
Category : Social Science
Languages : en
Pages : 382

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First published in 1992, this volume identifies the problems facing the designer of multi-environmental knowledge-based systems, and explains the principles that must be followed in order to obtain successful results. Systems called upon to function in a variety of widely differing cultural and natural environments can only do so satisfactorily if from the very beginning they have been designed with this versatility in mind. For the first time, the know-how for this often formidable design task has been gathered together and presented here. This study was written to an overall plan, with chapters commissioned from a group of research of quite diversified back-grounds who had deeply explored their subjects. Each topic was thus covered in close connection with the others, so as to form a coherent whole. While primarily aimed at workers in Artificial Intelligence and Expert Systems, as well as designers of other kinds of sophisticated software, the contents of the book are of wider validity, just as the multi-environmental demands are of wider incidence. Manufactures, exporters and importers of computing technology with a large knowledge component will also find their concerns addressed.

Author: Sue Ellen Haupt
Publisher: Springer Science & Business Media
ISBN: 1402091192
Category : Science
Languages : en
Pages : 418

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How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.