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  • 1
    Electronic Resource
    Electronic Resource
    An adaptive learning algorithm for a wavelet neural network (2005)
    Oxford, UK : Blackwell Publishing Ltd
    Expert systems 22 (2005), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Abstract: An optimal online learning algorithm of a wavelet neural network is proposed. The algorithm provides not only the tuning of synaptic weights in real time, but also the tuning of dilation and translation factors of daughter wavelets. The algorithm has both tracking and smoothing properties, so the wavelet networks trained with this algorithm can be efficiently used for prediction, filtering, compression and classification of various non-stationary noisy signals.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1468-0394.2005.00314.x
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  • 2
    Electronic Resource
    Electronic Resource
    A Web-enabled product definition and customization system for product conceptualization (2005)
    Oxford, UK : Blackwell Publishing Ltd
    Expert systems 22 (2005), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Abstract: Owing to rapidly changing customer needs and much shorter product life cycles, for developing a successful product it is imperative to employ more efficient and flexible approaches for product conceptualization. To meet this demand, a Web-enabled product definition and customization system (PDCS) is proposed, from a design-knowledge-handling viewpoint, in this paper. It comprises two phases, namely product definition based on the laddering technique and a novel design knowledge hierarchy, and product customization based on an integrated methodology of conjoint analysis and Kohonen association techniques. Basically, this system is a method of conducting design decision-making via customer involvement, i.e. a strategy for transforming customer preference into a specific product concept. A case study on wood golf club design is used to illustrate and validate the proposed Web-enabled PDCS.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1468-0394.2005.00315.x
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  • 3
    Electronic Resource
    Electronic Resource
    News (2005)
    Oxford, UK : Blackwell Publishing Ltd
    Expert systems 22 (2005), 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/j.1468-0394.2005.00318.x
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  • 4
    Electronic Resource
    Electronic Resource
    Developments of fuzzy PID controllers (2005)
    Oxford, UK : Blackwell Publishing Ltd
    Expert systems 22 (2005), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Abstract: This paper describes the development and tuning methods for a novel self-organizing fuzzy proportional integral derivative (PID) controller. Before applying fuzzy logic, the PID gains are tuned using a conventional tuning method. At supervisory level, fuzzy logic readjusts the PID gains online. In the first tuning method, fuzzy logic at the supervisory level readjusts the three PID gains during the system operation. In the second tuning method, fuzzy logic only readjusts the proportional PID gain, and the corresponding integral and derivative gains are readjusted using the Ziegler–Nichols tuning method while the system is in operation. For the compositional rule of inferences in the fuzzy PID and the self-organizing fuzzy PID schemes two new approaches are introduced: the min implication function with the mean of maxima defuzzification method, and the max-product implication function with the centre of gravity defuzzification method. The fuzzy PID controller, the self-organizing fuzzy PID controller and the PID controller are all applied to a non-linear revolute-joint robot arm for step input and path tracking experiments using computer simulation. For the step input and path tracking experiments, the novel self-organizing fuzzy PID controller produces a better output response than the fuzzy PID controller; and in turn both controllers exhibit better process output than the PID controller.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1468-0394.2005.00316.x
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  • 5
    Electronic Resource
    Electronic Resource
    Diary (2005)
    Oxford, UK : Blackwell Publishing Ltd
    Expert systems 22 (2005), 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/j.1468-0394.2005.00319.x
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  • 6
    Electronic Resource
    Electronic Resource
    Strategies for preventing defection based on the mean time to defection and their implementations on a self-organizing map (2005)
    Oxford, UK : Blackwell Publishing Ltd
    Expert systems 22 (2005), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Abstract: Customer retention is a critical issue for the survival of any business in today's competitive marketplace. In this paper, we propose a dynamic procedure utilizing self-organizing maps and a Markov process for detecting and preventing customer defection that uses data of past and current customer behavior. The basic concept originates from empirical observations that identified that a customer has a tendency to change behavior (i.e. trim-out usage volumes) before eventual withdrawal and defection. Our explanatory model predicts when potential defectors are likely to withdraw. Two strategies are suggested to respond to the question of where to lead potential defectors for the next stage, based on anticipating when the potential defector will leave. Our model predicts potential defectors with little deterioration of prediction accuracy compared with that of the multilayer perceptron neural network and decision trees. Moreover, it performs reasonably well in a controlled experiment using an online game.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1468-0394.2005.00317.x
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