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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    European journal of applied physiology 71 (1995), S. 559-561 
    ISSN: 1439-6327
    Keywords: Critical power ; Anaerobic work capacity ; Methodology ; Electrically-braked ergometer
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract This study examined the effect of end-point cadence on the parameters of the work-time relationship determined for cycle ergometry. Eight male subjects completed four maximal tests on an electrically-braked cycle ergometer that regulated a constant power output independent of cadence. The power outputs imposed ranged between an average of 259 W and 403 W, whereas the corresponding durations ranged between 139 s and 1691 s. During each test subjects were required to maintain a cadence of 80–90 rpm. Accumulated time to end-point cadences of 70, 60 and 50 rpm were recorded. The four work-time determinations for each of three end-point cadences were used to determine linear relationships between work and time, yielding both a y-intercept, which represents anaerobic work capacity, and a slope, which is termed critical power (CP), for each end-point cadence. There was a significant increase in the y-intercept as end-point cadence decreased from 70 to 60 rpm (F[1,7]=36.7, p 〈 0.001) or 70 to 50 rpm (F[1,7]=80.1, p 〈 0.001), but not from 60 rpm to 50 rpm (F[1,7]=3.28, p 〉 0.05). In contrast, there was no effect of end-point cadence on CP (F[2,14]=1.89, p 〈 0.05). These results demonstrate that the end-point cadence selected to terminate tests only affects the y-intercept of the work-time relationship. To control for this effect, the cadence at which each test is terminated should be standardised if determination of anaerobic work capacity, as represented by the y-intercept, is required.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Neural computing & applications 5 (1997), S. 224-229 
    ISSN: 1433-3058
    Keywords: Kohonen feature map ; Class discriminants ; Gamma test ; Residential property appraisal ; Back propagation ; Variance estimation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract A number of published studies have investigated the application of neural network technology to residential property appraisal. The majority of these studies have concentrated on homogeneous areas (that is areas where properties are subject to the same environment and locational factors). This is generally done to restrict the data set to one local sub- market. However, the models created are specialised and not locationally portable. This paper presents a methodology, which builds on research reported by James [1], in which a Kohonen map is used to uncover sub-markets within a large data set that are subsequently independently used to train a series of back-propagation networks. (The paper also introduces a novel boundary detection algorithm for a Kohonen self organising map.) The study concludes that by modelling possible sub-markets an acceptable accuracy over a heterogeneous area can be achieved. The work presented in this paper is funded via a Realising Our Potential Award under the auspices of the ESRC.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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