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In this paper, we investigated the hardware implementation of two feedforward neural networks (NNs) using a field-programmable gate array (FPGA), then used the networks for alpha–gamma discrimination in barium fluoride (BaF2). The BaF2 detector output was sampled using a 1-GSPS ADC, and then we extracted six information of the pulses in FPGA as the input features to the NNs. The performance of this...
According to the nonlinearity of the industrial process, it is difficult for traditional predictive control algorithm to establish an accurate mathematical model. In the paper, a two-step predictive control algorithm based on the least square support vector machine (LS-SVM) is proposed. In this algorithm, the nonlinear system is turned into linear system by adding the appropriate intermediate variables...
Optimal function of prosthetic hands for activities of daily living requires knowledge of contact force; however, users of prosthetic hands must rely on visual feedback for object manipulation, requiring constant concentration. Vibrotactile stimulation was explored as a modality for force feedback over multiple testing sessions. Unimpaired participants (N=6) performed virtual object manipulation with...
We propose a multi-task learning (MTL) framework for non-linear classification, based on an infinite set of local experts in feature space. The usage of local experts enables sharing at the expert-level, encouraging the borrowing of information even if tasks are similar only in subregions of feature space. A kernel stick-breaking process (KSBP) prior is imposed on the underlying distribution of class...
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