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On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), that significantly improves the performance (robustness, accuracy, and training speed) over the traditional SGD. The proposal is based on three simple ideas: averaging the weight vectors across SGD iterations, feeding the averaged...
In order to promote the efficiency and the supervisory of the heat supply systems in the north of China, a new intelligent central heating supervision and control system for heat supply station was proposed and designed. The proposed system consists of the intellectualized distributed data acquisition system based on the CAN (control area network) bus with multi-channel and multi-function, the high...
The disturbance picked up by error sensors can significantly degrade the steady-state performance of active noise control (ANC) systems for practical applications. This paper presents a cascading adaptive algorithm for removing uncorrelated disturbance and analyzes its performance in narrowband ANC systems. Theoretical analysis shows that the proposed algorithm improves the behavior of adaptive filter...
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