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This paper proposes neural network combined with several constraint conditions for solving the unit commitment problem with cascaded hydropower station group. The proposed method is applied to get pre-dispatching table in each hour at which plant so as to save search time and meet forecasted load curves. Considering the cost of generation, it presents the optimization model with the minimum water...
This paper discusses the recurrent neural network (RNN) with memristors as connection weights. Memristor is a nonlinear resistor. Memristance varies periodically with time when the sinusoidal voltage source is applied. According to this property of memristor, it shows that coefficients of RNN with memristors are periodic functions with respect to time t. By dividing the state space and using contraction...
This paper considers a recurrent neural network (RNN) with a special class of discontinuous activation function which is piecewise constants in the state space. One sufficient condition is established to ensure that the novel recurrent neural networks can have (4k−1)n locally exponential stable equilibrium points. Such RNN is suitable for synthesizing high-capacity associative memories. The design...
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