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Comprehensive Measurement Method of Intelligent Level of Measurement and Control Equipment Based on Kinetic Entropy
2024 International Conference on Advanced Control Systems and Automation Technologies (ACSAT)
Year: 2024 | Conference Paper |
For the optimization and upgrading of intelligent measurement and control equipment, it is particularly important to conduct a comprehensive assessment of its intelligence level. A comprehensive assessment method based on kinetic entropy is proposed for the intelligent level of measurement and control equipment, and a corresponding assessment model framework is constructed. First, the key factors ...Show More
Optimizing Neural Network Testing with Test Theory
Yifei Liu;Yinxiao Miao;Ping Yang;Tianqi Wan;Xiujian Zhang;Long Zhang
2024 4th International Conference on Neural Networks, Information and Communication Engineering (NNICE)
Year: 2024 | Conference Paper |
Since 2017, researches on neural network (NN) testing adequacy criteria have rapidly emerged, which characterize different aspects of NNs to define the quality of the tests. Most existing studies focus on structural coverage metrics, but these criteria have a low correlation with neural network quality, robustness, and other attributes; the test data generation based on these criteria is often inc...Show More
A Review of Research on Generalization Error Analysis of Deep Learning Models
2023 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Generalization error is used to quantify the predictive ability of models on unseen datasets, which are obtained from learning based on training datasets. The generalization ability is one of the core performances of the learning models. The characteristics of large-scale parameters and low interpretability of deep learning have challenged the traditional generalization error analysis methods base...Show More
An Uncertainty Network Working Mechanism Analysis Method based on Local Interpretable Model-agnostic Explanations
2022 China Automation Congress (CAC)
Year: 2022 | Conference Paper |
In recent years, Deep learning has been widely used in different fields which learns the skills from dataset, however the parameter and decision logic is opaque for human. The trustworthy of deep learning model has attracted much attention of researchers, in that uncertainty is an essential part of trusted artificial intelligence. Therefore uncertainty analysis is an important part of the basic th...Show More
Research on the Embedded Mathematical Model of Artificial Intelligence Measurement
2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)
Year: 2022 | Conference Paper |
In view of the unclear concept and weak basic theory of artificial intelligence, the bottleneck of basic measurement technology has not been solved. The relationship between AI metrics and basic cognitive quantity is extremely complex, so it is challenging and uncertain to scientifically construct its functional relationship. This article starts from revealing the internal mechanism, measurement p...Show More
Semi-supervised Learning Method for Object Detection based on Adjacent Frame Consistency Measurement
2022 41st Chinese Control Conference (CCC)
Year: 2022 | Conference Paper |
Deep neural network requires a large amount of labeled data to train the parameters of the model, but the cost of data labeling is high, and only a small part of the collected data is labeled as the dataset. Therefore, a large amount of unlabeled data is not used in the training process. The reasonable utilization of unlabeled data has attracted much attention from the academic and industrial area...Show More
Research on Trustworthiness Evaluation Technology of Aircraft Intelligent Navigation System
2020 IEEE 7th International Workshop on Metrology for AeroSpace (MetroAeroSpace)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Due to the multiple obstacles, false signals and complex terrain, it is difficult to provide real-time, high-precision and high reliable navigation information for the aircraft. Therefore, the trustworthiness evaluation technology of aircraft intelligent navigation system is studied in this paper. Firstly, the trustworthiness definition and application value of the intelligent navigation system ar...Show More
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