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Extreme learning machine (ELM) as a learning algorithm for neural networks (NN) could provide the best generalization performance at extremely fast leaning speed. Through the use of ELM, it is thus possible to improve the existing schemes especially the ones whose learning speed is not fast enough while addressing control problems. As a popular NN-based approach for control applications, direct heuristic...
Adaptive control theory, structural parameter identification and error analysis are used to control the construction of PC cantilever casting bridge in the paper. The construction camber for main beam can be determined by BP artificial neural network. The deflection of main beam should be tested persistently. Strain sensors are previously located in beam to determine the concrete strain. The paper...
Multiple-attribute decision analysis (MADA) problem consists of both quantitative data and qualitative information with subjective judgments of ambiguity. The evidential reasoning (ER) approach is well-suited for dealing with such MADA problems and can generate comprehensive distributed assessments for different alternatives. In the ER approach, many types of uncertainties could be considered such...
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