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Spatial navigation disorder is the earliest and most common manifestation of cognitive impairment. Therefore, the observation of spatial navigation ability can provide a basis for the distinction between normal and mild cognitive impairment patients. At the same time, it can improve the cognitive function and delay the decline of cognitive function in patients with mild cognitive impairment. In the...
In this paper, the turbo principle is applied to the existing least symbols error rate(LSER) decision feedback equalization(DFE) for underwater channel. The performance of the DFE adaptive algorithms are aided by soft information delivered from the channel decoder. We introduce a variable step size scheme that takes soft information into account to get the more suitable step size which can reduce...
In recent years, deep learning approaches have gained significant interest as a way of building hierarchical representations from unlabeled data. These deep learning approaches have been applied to image recognition, voice recognition and text processing. However, to our knowledge, the deep learning approaches have not been extensively studied for web data. In this paper, we apply deep belief networks...
In this paper Shuffled Frog Leaping Algorithm based neural network is used in speech emotion recognition. Speech emotion data is collected and emotional features are analyzed. Shuffled Frog Leaping Algorithm is used to train the random initial data, optimize the connection weights and thresholds of the neural network with a fast network convergence speed. The results show that Shuffled Frog Leaping...
The size of a neural network must be pre-determined before it can be trained for any application. Choosing the correct size of a neural network can increase its speed of response and thus improve the performance of the overall system. In this paper, a genetic algorithm is employed to find the optimal number of connections of a neural network controller which is used to regulate a class of DC power...
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