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A control theoretic approach is presented in this paper for both batch and instantaneous updates of weights in feed-forward neural networks. The popular Hamilton-Jacobi-Bellman (HJB) equation has been used to generate an optimal weight update law. The main contribution in this paper is that a closed form solutions for both optimal cost and weight update can be achieved for any feed-forward network...
Now a day's technology becomes ever more invasive, the design challenges in home automation are increasingly apparent. Seamless controlling home, monitoring and programming by the end user have yet to enter the mainstream. This could be legitimate to the challenge of developing a fully independent and extensible home system that can support devices and technologies of differing functionalities and...
In the past decade, improvements in the production of in-expensive PC equipment and software has permitted more refined real-time signal processing in BCI systems. In the literature, Deep learning concepts have not been applied to EEG data analysis in a systematic manner. This paper applies various existing Deep learning architectures and algorithms for the classification of EEG data applied to eye...
Electroencephalographic arousals are characterized by a sudden shift in electroencephalogram (EEG) frequency during sleep. Occurrence of arousals causes improper sleep which is the main reason of day-time sleepiness. The arousal during the sleep is detected by analyzing a multimodal multichannel Polysomnographic (PSG) recordings. It is a time consuming task to analyze the recording manually and requires...
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