Hamid Khodabandehlou

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In 21 farms which requested consultation for reasons of infertility problems feed samples (grass silage, n = 20; cornsilage, n = 19; hay, n = 9; cereal mixture, n = 3, brewers grains, n = 5, ensiled sugar beet tops, n = 1) were drawn for assay of free (aglycon) and glycosidic (glycosid) bound oestrogen activity. Following sample preparation and extraction,(More)
In this study we introduce a new approach to train a fully recurrent artificial neural network by solving a constraint satisfaction problem using the quotient gradient method. The quotient gradient method is a trajectory based methodology for global optimization that does not suffer from the problem of local minima encountered in Newton based methods.(More)
We present a networked control system for nonlinear plants with unknown dynamics using a wavelet neural network (WNN) with feedforward component and generalized predictive controller (GPC). The WNN with feedforward term is used to adaptively model the nonlinear plant using its input and output history. The WNN uses the traditional back propagation algorithm(More)
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