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Research results in neurophysiology show the predictive nature of vergence eye movement, vergence eye movement can persistently track a moving target which shifts in distance relative to the head. Few models have attempted to consider prediction of target motion in vergence models. Most models only considered static targets, their input are frozen driving signals. In this paper, a model with estimator...
Extreme Learning Machine (ELM) for Single-hidden Layer Feedforward Neural Network (SLFN) has been attracting attentions because of its faster learning speed and better generalization performance than those of the traditional gradient-based learning algorithms. However, it has been proven that generalization performance of ELM classifier depends critically on the number of hidden neurons and the random...
The main objective of short-term load forecasting (STLF) is to provide load predictions for generation scheduling, economic load dispatch and security assessment at any time. A new forecasting approach is designed in this paper and the novel method based on the cooperative co-evolutionary and the immune algorithm is proposed. The cooperative co-evolutionary immune network is used to evolve the structure...
Amplitude Modulation spectrogram (AMS) can reflect the orthogonality between the "periodotopical" organization and the tonotopical organization in neurons. So we can use it as a reliable discrimination between speech and noise. This paper presents a novel approach of robust speech recognition by using AMS and Spectrum Subtraction with Confidence Interval Test. By dynamic using Confidence...
Oil price time series is a nonlinear long-memory series, in this paper, a novel clustering method based on the symbiotic evolutionary and the immune programming algorithm is proposed, which is implemented for the prediction of oil price time series. In the design of the neural network, the number and positions of hidden layer are automatically adjust through symbiotic evolutionary and the immune programming...
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