Host: The Society of Instrument and Control Engineers
Co-host: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society
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This paper applies a homotopy continuation method to improving the BP training of quasi-ARX neural network model. The idea is to start the BP training with the criterion function for linear ARX model, which is gradually deformed into the actual one for quasi-ARX neural network model. The effort is made to build the deformation into a usual BP recursive procedure.