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Design Space Exploration (DSE) is a critical step in the chip design. The tradeoffs and interactions among parameters are traditionally evaluated by simulating or synthesizing a variety of designs which is intractable. The predictive modeling techniques have been applied to predict the design performance for DSE. For the system-on-a-chip (SoC) DSE cases, however, it is difficult to achieve high accuracy...
With a single-layer architecture and a linear transfer function (LTF), CMA cannot perform very well for the nonconvex and nonlinear cost function due to the convex decision region. Both nonlinear transfer function (NTF) and multilayer architecture (MLA) can generate a nonconvex decision region and thus improve the equalization performance. The objective of this paper is to investigate that it is NTF...
In this paper, a novel nonlinear Radial Basis Function Neural Network (RBF-NN) ensemble model based on ν-Support Vector Machine (SVM) regression is presented for financial time series forecasting. In the process of ensemble modeling, the first stage the initial data set is divided into different training sets by used Bagging and Boosting technology. In the second stage, these training sets are input...
Reverberation deteriorates the quality and intelligibility of speech, leading to the poor performance of classification systems. Room reverberation parameters depend on the location of the speaker and the microphone and the room geometry. For mobile robots, the reverberation is constantly changing due to the relative movement of the speaker and the robot. This can affect the spectral properties of...
Facial expression recognition is necessary for designing any human-machine interfaces. A novel facial expression recognition method with wavelet packet decomposition and neural network ensemble is proposed in this paper. Firstly, the facial expression images are converted by wavelet packet decomposition method into many decomposed regions. Secondly, single BP neural networks are trained by the K-L...
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