Reducing Ambiguity in Qualitative Reasoning
Qualitative reasoning derives the behavior of a physical system using a representation of the fundamental principles for the domain. In qualitative reasoning parameters are mapped into...
Order of Magnitude Reasoning for Qualitative Matrix Structural Analysis
Several computational schemes have recently been proposed to adapt Qualitative Reasoning for Structural Engineering applications. One current methodology. Qualitative Matrix Analysis (QMA),...
IVHS and HOV Facilities
This paper examines the application o f intelligent vehicle-highway systems (IVHS) technology to high-occupancy vehicle (HOV) facilities. Current projects are described and potential applications...
An Intelligent Interface for Construction Information
The paper describes the structure of a system being developed to make available a wide range of types of information to assist people in the construction industry. State-of-art search...
A Comparison of Two AI Based Design Systems
Two applications of Civil Engineering based, AI systems are described. Although both systems are intended as design aids they have substantially different structures and methods of achieving...
Artificial Neural Networks and Knowledge-Based Systems: Complementary AI Techniques for Civil Engineering
This paper considers the feasibility of integrating Artificial Neural Networks (ANNs) and Knowledge-Based Systems (KBSs) to solve civil engineering problems. KBSs are superior at representing...
Adapting Conceptual Clustering for Preliminary Structural Design
The use of conceptual clustering for knowledge acquisition can facilitate the development of a knowledge base in a domain where little formalized knowledge is really available. The limitations...
NETSYN: Neural Network-based Support for Synthesis
Our goal in applying machine learning for synthesis is to develop a tool that assists in acquiring the relationships between form, function, and behavior properties that can be used to...
Neural Network Learning in Structural Engineering Applications
Neural networks based on the backpropagation learning algorithm have been used in a number of structural engineering applications. The paper classifies the different types of relationships...
Intelligent Systems for Information Retrieval in Construction
The last three decades of the scientific and business market have been signed by information revolution. In construction, large amounts of information are manipulated and consulted. Information...
Creative Engineering Design Using Analogy
Designs in different domains vary in structure, performance and in many other aspects. However, their design purposes can be achieved in a limited number of ways. In this paper, we classify...
DScheduler: A Deductive Database for Scheduling Building Construction Tasks
Computer applications in the construction domain, such as construction scheduling and estimation, require a large amount of data. Reasoning with complex data is facilitated by Artificial...
Pre-Design Planning with Intelligent Project Development Brochure (IPDB) System
The functional design criteria and other technical requirements are to be established during the pre-design planning stage of a project. At this pre-design stage, the formulation of the...
Combined Sewer Overflow Abatement by Means of Detention Basins and Stormwater Infiltration
The conventional approach to abate the pollution loads from combined sewer overflows (CSO's) is to include detention basins. The same reduction in CSO loads may be obtained by infiltrating/percolating...
Artificial Neural Networks as Unit Hydrograph Applications
A simple artificial neural network is shown to have the same structure as the application of a unit hydrograph. An artificial neural network representing such an application was constructed,...
Distribution of Stable Isotopes in Ground Water in the Rialto-Colton Basin, California
Since 1982, imported water originating in the Sierra Nevada has been used to recharge the Rialto-Colton ground-water basin, about 100 km east of Los Angeles. Stable isotopes of oxygen...
BASIN 2.0 for the Design of Level-Basin Irrigation Systems
The purpose of this paper is to present a computer program for the hydraulic design of level-basin irrigation systems. The first of three design modes provides design based on the advance...
Computing in Civil and Building Engineering
This proceeding consists of papers presented at the Fifth International Conference on Computing in Civil and Building Engineering held in Anaheim, California, June 7-9, 1993. The proceedings...
Using Neural Network to Identify Pavement Structure Based on Radar Output
Knowledge of asphaltic layer thickness and structure are important in many areas of pavement management. Accurate thickness and structure measurements are needed throughout the roadway...
Multi-Paradigm Learning Algorithms for Image Recognition
Several recently-developed machine learning algorithms for the image recognition problem are reviewed. They are based on adroit integration of various recent and emerging technologies...
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