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In this paper, a novel updating law for Backpropagation learning algorithm based on optimal control theory is proposed. The original Backpropagation algorithm composed of learning rate factor (LR). The coefficient in LR is called step size and indicates the rate of algorithm convergence which is selected by trial and error. In original BP the step size is constant. This fixed step size causes important...
In this paper a new Lyapunov based backpropagation (BP) algorithm is proposed. The original BP algorithm is consists of one part, the learning rate factor (LR). In this new algorithm two extra adaptive parts has been added in comparison to original BP. The idea of adding these two parts is originated from the conventional PID controller. The first and second parts in the proposed algorithm are derivative...
In this paper a new Lyapunov based backpropagation (BP) algorithm is proposed. The original BP algorithm is consists of one part, the learning rate factor (LR). In this new algorithm two extra adaptive parts has been added in comparison to original BP. The idea of adding these two parts is originated from the conventional PID controller. The first and second parts in the proposed algorithm are derivative...
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