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Neural network ensemble has demonstrated many advantages over single neural networks in terms of generalization ability and parameters configuration. As compared to traditional bagging and boosting that are typical of generating individual network by horizontally partitioning training dataset, this paper proposes a new ensemble method called RRSE (rough(More)
Today, Density Functional Theory (DFT) is one of the most widely applied electronic structure methods. Time Dependent DFT (TDDFT), which is an extension of DFT, can calculate the excitation properties of the systems. It has been used in physics, chemistry and biology researches. Known for its rigor, reliability, and efficiency, TDDFT is the method of choice(More)
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