Author: Transportation Research E-Circular | Size: 1.58 MB | Format: PDF | Quality: Original preprint | Publisher: Transportation Research Board | Year: 2007 | pages: 88
This circular includes six articles that explore five general artificial intelligence (AI) areas including knowledge-based systems, neural networks, fuzzy sets, genetic algorithms, and agent-based models. The circular is designed to serve as an informational resource for transportation practitioners and managers with respect to AI tools within these general areas. Each article details the types of problems to which the paradigm is best suited, its strengths and weaknesses, example applications, and guidelines for its application.
This circular includes six articles that explore five general artificial intelligence (AI) areas including knowledge-based systems, neural networks, fuzzy sets, genetic algorithms, and agent-based models. The circular is designed to serve as an informational resource for transportation practitioners and managers with respect to AI tools within these general areas. Each article details the types of problems to which the paradigm is best suited, its strengths and weaknesses, example applications, and guidelines for its application.
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Artificial Intelligence in Transportation: I
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