Artificial Neural Networks For Civil Engineers

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Artificial Neural Networks for Civil Engineers

Author : Ian Flood,Nabil Kartam
Publisher : ASCE Publications
Page : 300 pages
File Size : 52,6 Mb
Release : 1998-01-01
Category : Technology & Engineering
ISBN : 078447446X

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Artificial Neural Networks for Civil Engineers by Ian Flood,Nabil Kartam Pdf

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 Networks for Civil Engineers

Author : Ian Flood,Nabil Kartam,American Society of Civil Engineers. Expert Systems and Artificial Intelligence Committee
Publisher : Amer Society of Civil Engineers
Page : 277 pages
File Size : 53,9 Mb
Release : 1998-01-01
Category : Technology & Engineering
ISBN : 0784403449

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Artificial Neural Networks for Civil Engineers by Ian Flood,Nabil Kartam,American Society of Civil Engineers. Expert Systems and Artificial Intelligence Committee Pdf

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 for Civil Engineers

Author : Nabil Kartam,Ian Flood,James H. Garrett
Publisher : Unknown
Page : 216 pages
File Size : 47,5 Mb
Release : 1997
Category : Civil engineering
ISBN : 7844402253

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Artificial Neural Networks for Civil Engineers by Nabil Kartam,Ian Flood,James H. Garrett Pdf

Artificial Neural Networks for Civil

Author : I. Flood,N. Kartam
Publisher : Unknown
Page : 128 pages
File Size : 40,9 Mb
Release : 1998-01-01
Category : Electronic
ISBN : 0804403449

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Artificial Neural Networks for Civil by I. Flood,N. Kartam Pdf

Artificial Neural Networks in Water Supply Engineering

Author : Srinivasa Lingireddy,Gail M. Brion
Publisher : ASCE Publications
Page : 196 pages
File Size : 41,7 Mb
Release : 2005-01-01
Category : Technology & Engineering
ISBN : 0784475601

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Artificial Neural Networks in Water Supply Engineering by Srinivasa Lingireddy,Gail M. Brion Pdf

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 Intelligence-Based Design of Reinforced Concrete Structures

Author : Won-Kee Hong
Publisher : Elsevier
Page : 510 pages
File Size : 43,7 Mb
Release : 2023-04-29
Category : Technology & Engineering
ISBN : 9780443152535

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Artificial Intelligence-Based Design of Reinforced Concrete Structures by Won-Kee Hong Pdf

Artificial Intelligence-Based Design of Reinforced Concrete Structures: Artificial Neural Networks for Engineering Applications is an essential reference resource for readers who want to learn how to perform artificial intelligence-based structural design. The book describes, in detail, the main concepts of ANNs and their application and use in civil and architectural engineering. It shows how neural networks can be established and implemented depending on the nature of a broad range of diverse engineering problems. The design examples include both civil and architectural engineering solutions, for both structural engineering and concrete structures. Those who have not had the opportunity to study or implement neural networks before will find this book very easy to follow. It covers the basic network theory and how to formulate and apply neural networks to real-world problems. Plenty of examples based on real engineering problems and solutions are included to help readers better understand important concepts. Helps civil engineers understand the fundamentals of AI and ANNs and how to apply them in simple reinforced concrete design cases Contains practical case study examples on the application of AI technology in structural engineer Teaches readers how to apply ANNs as solutions for a broad range of engineering problems Includes AI-based software [MATLAB], which will enable readers to verify AI-based examples

Artificial Neural Networks in Hydrology

Author : R.S. Govindaraju,A.R. Rao
Publisher : Springer Science & Business Media
Page : 338 pages
File Size : 52,6 Mb
Release : 2013-03-09
Category : Science
ISBN : 9789401593410

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Artificial Neural Networks in Hydrology by R.S. Govindaraju,A.R. Rao Pdf

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.

Developments in Neural Networks and Evolutionary Computing for Civil and Structural Engineering

Author : B. H. V. Topping
Publisher : Hyperion Books
Page : 244 pages
File Size : 43,5 Mb
Release : 1995
Category : Computers
ISBN : UOM:39015034548860

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Developments in Neural Networks and Evolutionary Computing for Civil and Structural Engineering by B. H. V. Topping Pdf

Includes a selection of papers presented at the Fourth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering, held at Cambridge, England, 28-30 August 1995.

Artificial Intelligence Applications in Civil and Structural Engineering

Author : B. Kumar,B. H. V. Topping
Publisher : Unknown
Page : 180 pages
File Size : 51,8 Mb
Release : 1999
Category : Artificial intelligence
ISBN : STANFORD:36105029147746

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Artificial Intelligence Applications in Civil and Structural Engineering by B. Kumar,B. H. V. Topping Pdf

Contains a selection of papers presented at The Fifth International Conference on the Applications of Artificial Intelligence to Civil and Structural Engineering, held from 13-15 September 1999, at Oxford, England.

Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

Author : Gebrail Bekdas,Sinan Melih Nigdeli,Melda Yucel
Publisher : Engineering Science Reference
Page : 312 pages
File Size : 42,5 Mb
Release : 2019
Category : Artificial intelligence
ISBN : 1799803023

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Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering by Gebrail Bekdas,Sinan Melih Nigdeli,Melda Yucel Pdf

"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--

Intelligent and Soft Computing in Infrastructure Systems Engineering

Author : Kasthurirangan Gopalakrishnan,Halil Ceylan,Nii O. Attoh-Okine
Publisher : Springer Science & Business Media
Page : 330 pages
File Size : 47,5 Mb
Release : 2009-11-19
Category : Computers
ISBN : 9783642045851

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Intelligent and Soft Computing in Infrastructure Systems Engineering by Kasthurirangan Gopalakrishnan,Halil Ceylan,Nii O. Attoh-Okine Pdf

The term “soft computing” applies to variants of and combinations under the four broad categories of evolutionary computing, neural networks, fuzzy logic, and Bayesian statistics. Although each one has its separate strengths, the complem- tary nature of these techniques when used in combination (hybrid) makes them a powerful alternative for solving complex problems where conventional mat- matical methods fail. The use of intelligent and soft computing techniques in the field of geo- chanical and pavement engineering has steadily increased over the past decade owing to their ability to admit approximate reasoning, imprecision, uncertainty and partial truth. Since real-life infrastructure engineering decisions are made in ambiguous environments that require human expertise, the application of soft computing techniques has been an attractive option in pavement and geomecha- cal modeling. The objective of this carefully edited book is to highlight key recent advances made in the application of soft computing techniques in pavement and geo- chanical systems. Soft computing techniques discussed in this book include, but are not limited to: neural networks, evolutionary computing, swarm intelligence, probabilistic modeling, kernel machines, knowledge discovery and data mining, neuro-fuzzy systems and hybrid approaches. Highlighted application areas include infrastructure materials modeling, pavement analysis and design, rapid interpre- tion of nondestructive testing results, porous asphalt concrete distress modeling, model parameter identification, pavement engineering inversion problems, s- grade soils characterization, and backcalculation of pavement layer thickness and moduli.

Neural Networks and Combinatorial Optimization in Civil and Structural Engineering

Author : B. H. V. Topping
Publisher : Hyperion Books
Page : 165 pages
File Size : 51,6 Mb
Release : 1993
Category : Civil engineering
ISBN : 0948749180

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Neural Networks and Combinatorial Optimization in Civil and Structural Engineering by B. H. V. Topping Pdf

Included in this volume are a selection of papers on the application of neural networks and combinatorial optimization to civil & structural engineering. The papers were presented at the Third International Conference on Application of Artificial Intelligence to Civil and Structural Engineering held 17-19 August 1993, Edinburgh.

Artificial Neural Networks for Engineers and Scientists

Author : S. Chakraverty,Susmita Mall
Publisher : CRC Press
Page : 156 pages
File Size : 51,8 Mb
Release : 2017-07-20
Category : Mathematics
ISBN : 9781351651318

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Artificial Neural Networks for Engineers and Scientists by S. Chakraverty,Susmita Mall Pdf

Differential equations play a vital role in the fields of engineering and science. Problems in engineering and science can be modeled using ordinary or partial differential equations. Analytical solutions of differential equations may not be obtained easily, so numerical methods have been developed to handle them. Machine intelligence methods, such as Artificial Neural Networks (ANN), are being used to solve differential equations, and these methods are presented in Artificial Neural Networks for Engineers and Scientists: Solving Ordinary Differential Equations. This book shows how computation of differential equation becomes faster once the ANN model is properly developed and applied.

Artificial Neural Networks in Real-life Applications

Author : Juan Ramon Rabunal,Julian Dorado
Publisher : IGI Global
Page : 395 pages
File Size : 55,7 Mb
Release : 2006-01-01
Category : Technology & Engineering
ISBN : 9781591409021

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Artificial Neural Networks in Real-life Applications by Juan Ramon Rabunal,Julian Dorado Pdf

"This book offers an outlook of the most recent works at the field of the Artificial Neural Networks (ANN), including theoretical developments and applications of systems using intelligent characteristics for adaptability"--Provided by publisher.