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  • calibration using ANN

    Dear Listers
    We are a group working in horse biomechanics and among our "toys" we have a
    force measuring horse shoe. The horse shoe is calibrated for every horse
    over a force plate with a specific surface relevant for the research
    question. We would like to then to use the force shoe in another enviroment
    after calibration. We would like to use Artificial Neural Networks (ANN) to
    produce our force data from the "other" enviroment. We have and would like
    to use commercial software to train/test/predict. Some of the limitations
    to date though is the difficulty in using the "network" programs with time
    series. Our first attempts have therefore been to use each data point as a
    node with 3 layers. The force shoe produces 6 channels of information (3
    vertical and 3 horizontal). Thus we may have 180 input nodes and output say
    30 for a signal stance. We use back propagation to test/predict. This seem
    to be the most common method used in EMG/Force prediction studies we have
    found inthe literature. The results are not totally satifactory though. We
    would appreciate some help on the following
    Which ANN commercial packages are available for this application?
    Does anyone use a time serie treatment to train/test/predict?
    Is there a better propagation method used?
    Will using more information/other sources prevent memorisation as we wish a
    generalisation?
    I can summarize results if desired at a later date
    Thank you for your help

    Chris

    Christopher Johnston DVM
    Center for Biomechanical Studies (CBS)
    Department of Anatomy and Histology
    Faculty of Veterinary Medicine
    Swedish University of Agricultural Sciences
    750 05 Uppsala, Sweden
    Tel +46-18672147
    Fax +46-18672852
    EMail Christopher.Johnston@ah.slu.se
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