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  • 1
    Electronic Resource
    Electronic Resource
    Editorial (1999)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 16 (1999), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00113
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    A hybrid system applied to epidemic screening (2000)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 17 (2000), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Although many knowledge-based systems (KBSs) focus on single-paradigm approaches to encoding knowledge (such as production rules), human experts rarely use a single type of knowledge to solve a real-world problem. A human expert usually combines a number of reasoning mechanisms. In recent years, rule-based reasoning (RBR), case-based reasoning (CBR) and model-based reasoning (MBR) have emerged as important and complementary reasoning methodologies in the intelligent systems area. For complex problem solving, it is useful to integrate RBR, CBR and MBR. In this paper, a hybrid epidemic screening KBS which integrates a deductive RBR system, an inductive CBR system and a quantitative MBR system is proposed. The system has been tested using real epidemic screening variables and data.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00130
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  • 3
    Electronic Resource
    Electronic Resource
    Dynamic recurrent neural networks for a hybrid intelligent decision support system for the metallurgical industry (1999)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 16 (1999), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Knowledge-based modeling and implementation of the various manufacturing processes represent an intensive research area. It is known that it is difficult to analyze the mechanisms of many industrial production processes and build dynamic models by employing classical methods for intelligent systems in manufacturing. This paper describes how to use dynamic recurrent neural networks to provide the model base of a hybrid intelligent system for the metallurgical industry with a quality control model. The hybrid system extracts the features of image sequences obtained through the vision detection subsystem and employs a dynamic recurrent neural network to assess and predict the product qualities to further coordinate the entire production process.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00115
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    Paper (German National Licenses)
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  • 4
    Electronic Resource
    Electronic Resource
    Hybrid artificial intelligence approach to urban planning (1999)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 16 (1999), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Knowledge-based modeling and implementation of the various urban planning processes represent an intensive research area. This paper presents a hybrid artificial intelligence system using a knowledge-based approach, neural networks and fuzzy logic that automates the decision-making process in urban planning. The system is used for developing urban development alternatives based on real-world data. Results show that, by integrating knowledge-based systems, artificial neural networks and fuzzy systems, the system achieves improvements in the implementation of each respective system as well as an increase in the breadth of functionality within the application. With this approach, the best of three technologies can be compiled together to solve complex urban problems. We discuss the structure of the combined technologies, as well as providing examples of its application in the field of urban development.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00117
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    Paper (German National Licenses)
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