Results 221 to 230 of about 371,618 (268)
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Decision Support Systems, 1996
Abstract A model for integrating Expert Systems is presented. The model — Synergetic Expert System (SES) — contains several expert systems which can be arranged synergetically to suit the particular needs of a problem. An object-oriented approach is used to design the model and handle its various components. The building blocks of the model, arranged
Yosef Beeri, Israel Spiegler
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Abstract A model for integrating Expert Systems is presented. The model — Synergetic Expert System (SES) — contains several expert systems which can be arranged synergetically to suit the particular needs of a problem. An object-oriented approach is used to design the model and handle its various components. The building blocks of the model, arranged
Yosef Beeri, Israel Spiegler
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IEEE Expert, 1988
A background and overview of artificial intelligence (AI) research in Japan is provided. Industrial AI research in the steel, construction, and energy-related industries is examined. A trend is revealed toward addressing design and productivity as opposed to the diagnosis and cost-saving approach dominating US expert systems. >
Koichi Ishii, Sakae Hayami
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A background and overview of artificial intelligence (AI) research in Japan is provided. Industrial AI research in the steel, construction, and energy-related industries is examined. A trend is revealed toward addressing design and productivity as opposed to the diagnosis and cost-saving approach dominating US expert systems. >
Koichi Ishii, Sakae Hayami
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An Expert System for Ironmaking
2001This paper describes an expert system for the on-line diagnosis of blast furnaces. The system analysis more than a hundred parameters in real time and shows the operator the status of the blast furnace and its behaviour. The system also gives suggestions and control set-points in order to achieve a better hot metal quality and aimed analysis, as well ...
Javier Tuya +6 more
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The Deepening of Expert Systems
AI Communications, 1987Since its conception in the early seventies through the work on DENDRAL (Feigenbaum and Lederman, 1970) and MYCIN (Shortliffe, 1976), the notion of an expert system has swept the world and captured the imagination of computer technologists and users alike. The success of the concept of an expert system can no longer be denied.
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Predicting expert system success: an expert system for expert systems
Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems - SIGBDP '90, 1990Il-Yeol Song, Joseph LaGue
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Computer, 1983
Artificial intelligence is no longer science theory. A variety of thinking systems are out of the laboratory and successfully solving problems using ai knowledge-representation techniques. 50 references.
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Artificial intelligence is no longer science theory. A variety of thinking systems are out of the laboratory and successfully solving problems using ai knowledge-representation techniques. 50 references.
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IEEE Expert, 1989
Benchmarks for use with expert system shells are considered. Two approaches are pursued: running a shell with a real knowledge base on different machines, and running an artificial, stylized benchmark knowledge base with different shells on the same machine.
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Benchmarks for use with expert system shells are considered. Two approaches are pursued: running a shell with a real knowledge base on different machines, and running an artificial, stylized benchmark knowledge base with different shells on the same machine.
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Expert System Technology: Expert System Interface
2019This chapter aims to identify reasons for the relative weakness of the link and clarify issues that will be essential to the strengthening of such a link and thereby increase the usability of expert systems as a whole. The knowledge of several human experts can be combined to give a system more breadth than a single person is likely to achieve.
Chaomei Chen, Roy Rada
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2004
In this paper, a multi-expert classification system (MECS), composed of two main parts performing the so-called multi-stage classification (MSC) and multi-expert classification (MEC), is proposed. The former (MSC) produces either correct decisions or the ”I do not know” (IDNK) answers, so there are not misclassifications. The latter (MEC) is a parallel
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In this paper, a multi-expert classification system (MECS), composed of two main parts performing the so-called multi-stage classification (MSC) and multi-expert classification (MEC), is proposed. The former (MSC) produces either correct decisions or the ”I do not know” (IDNK) answers, so there are not misclassifications. The latter (MEC) is a parallel
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2017
The paper is presenting a new visual software tool for developing expert systems: Basic Expert System. The Graphical User Interface is organized in expert diagrams, facilitating and accelerating the design of complex applications. An expert system for tomato disease diagnostic illustrates the BES operation.
Marius M. Balas, Robert A. Boran
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The paper is presenting a new visual software tool for developing expert systems: Basic Expert System. The Graphical User Interface is organized in expert diagrams, facilitating and accelerating the design of complex applications. An expert system for tomato disease diagnostic illustrates the BES operation.
Marius M. Balas, Robert A. Boran
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