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A hysteretic Elman neural network is proposed to improve the prediction performance of the wind speed series. A hysteretic function which is constructed by shifting the Sigmoid function is used as the activation function of the neuron in the context layer. The historical information can be used in the process of choosing the activation response branch. Genetic algorithm is used to train the parameters...
Real-time embedded systems (RTESs) are becoming increasingly ubiquitous, controlling a wide variety of popular and safety-critical devices. Effective testing techniques could improve the dependability of these systems. In this paper we present an approach for testing RTESs, intended specifically to help RTES application developers detect faults related to functional correctness. Our approach consists...
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