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The extreme learning machine (ELM) is a novel single hidden layer feedforward neural network, which has the superiority in many aspects, especially in the training speed; however, there are still some shortages that restrict the further development of ELM, such as the perturbation and multicollinearity in the linear model. To the adverse effects caused by(More)
Advanced materials for electrocatalytic water splitting are central to renewable energy research. In this work, three-dimensional (3D) hierarchical frameworks based on the self-assembly of MoS2 nanosheets on graphene oxide were produced via a simple one-step hydrothermal process. The structures of the resulting 3D frameworks were characterized by using a(More)
Advanced materials for electrocatalytic water splitting are central to renewable energy research. In this study, MoO 2 nanobelts@nitrogen self-doped MoS 2 nanosheets are produced by nitridation and sulfuration treatments of MoO 3 nanobelts. The material structures are characterized by a variety of techniques including scanning electron microscopy,(More)
Accurately, forecasting of the flatness plays a highly significant role in the flatness theory and flatness control system, but it is quite difficult and complicated due to the nonlinear characteristics of flatness pattern recognition and lack of available observed data set. Recently, support vector regression (SVR) is being proved an effective machine(More)