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Chapter and Conference Paper
A Method for Obtaining Highly Robust Memristor Based Binarized Convolutional Neural Network
Recently, memristor based binarized convolutional neural network has been widely investigated owing to its strong processing capability, low power consumption and high computing efficiency.However, it has not ...
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Article
Uncertainty measures of rough sets based on discernibility capability in information systems
Rough set theory (RST) has been widely used to measure and handle uncertain information; however, the existing RST-based measures are difficult to generalize the results of incomplete information systems to co...
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Article
Open AccessIntegrated measures for rough sets based on general binary relations
Uncertainty measures are important for knowledge discovery and data mining. Rough set theory (RST) is an important tool for measuring and processing uncertain information. Although many RST-based methods for ...
