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Convolutional neural networks (CNNs) have recently achieved remarkable successes in various image classification and understanding tasks. The deep features obtained at the top fully connected layer of the CNN (FC-features) exhibit rich global semantic information and are extremely effective in image classification. On the other hand, the convolutional features in the middle layers of the CNN also...
Recent studies show structured atomic event information is beneficial to represent the discourse semantic. However, extracting useful structured representation of events from open domain is a challenging problem. On one hand, previous event extraction methods on special domain, cannot be directly used for open domain because of domain limitation and predefined event pattern. On the other hand, atomic...
The performance analyses of Z-type models using PSAF (i.e., power-sigmoid activation functions) for solving the Zhang problems are investigated in this paper. Excellent robustness is demonstrated when using PSAF for very large perturbation errors. Compared with LAF (i.e., linear activation functions), Z-type models using PSAF have better performance on solving not only scalar-valued problems but also...
It is of profound society significance and urgently realistic value to replace Houses on stilt of residential building with the timber structure. The effect and characteristics of such concrete structures were analyzed by the finite element software of ANSYS and the conceptual design was submitted for the control of the internal force distribution and the weak part of the structures. That is of greatly...
The purpose of this article is to present a type of extended optimistic value and pessimistic value (lambda-optimistic value and lambda-pessimistic value) to fuzzy variable. Firstly, we introduce the concept of the extended optimistic value and pessimistic value to fuzzy variable. Then, the extended optimistic value and pessimistic value to equipossible fuzzy variable, triangular variable and trapezoidal...
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