Inhaltsangabe:
The Applications of Artificial Intellegence in Engineering (AIEng) conferences have consistently provided an important forum for the discussion of realistic AI applications. They have tracked the maturing of AI from its early days of tremendous (if over hyped) promise, through a period of less favourable press when some unrealistic expectations were unfulfilled, to the present when many of AI's underlying technologies, including fuzzy logic and neural networks, are firmly established within engineering. This book contains the extended abstracts of the papers presented at the thirteenth International Conference on the Application of Artificial Intellegence in Engineering, held at the National University of Ireland, Galway (NUIG) in July 1998. The papers represent the work of AI researchers from around the world and cover all the main branches of engineering including civil and environmental engineering, hydrology, architecture, manufacturing and process engineering, and control engineering. Amongst the techniques reviewed are neural networks, fuzzy logic, genetic algorithms, machine learning, distributed intelligence and rule-based systems.
Reseña del editor:
The Applications of Artificial Intellegence in Engineering (AIEng) conferences have consistently provided an important forum for the discussion of realistic AI applications. They have tracked the maturing of AI from its early days of tremendous (if over hyped) promise, through a period of less favourable press when some unrealistic expectations were unfulfilled, to the present when many of AI's underlying technologies, including fuzzy logic and neural networks, are firmly established within engineering. This book contains the extended abstracts of the papers presented at the thirteenth International Conference on the Application of Artificial Intellegence in Engineering, held at the National University of Ireland, Galway (NUIG) in July 1998. The papers represent the work of AI researchers from around the world and cover all the main branches of engineering including civil and environmental engineering, hydrology, architecture, manufacturing and process engineering, and control engineering. Amongst the techniques reviewed are neural networks, fuzzy logic, genetic algorithms, machine learning, distributed intelligence and rule-based systems.
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