Multi-View Feature Construction Using Genetic Programming for Rolling Bearing…
Rolling bearing fault diagnosis is an important task in mechanical engineering. Existing methods have several limitations, such as requiring domain knowledge and a large number of training samples.…
A Self-Adaptive Mutation Neural Architecture Search Algorithm Based on Blocks
Recently, convolutional neural networks (CNNs) have achieved great success in the field of artificial intelligence, including speech recognition, image recognition, and natural language processing.…
Forecasting Wind Speed Time Series Via Dendritic Neural Regression
Wind energy is considered one of the fastest growing renewable ('green') energy resources. Precise wind power forecasting is imperative to ensure reliable power system planning and wind farm operat…
Self-Supervised Representation Learning for Evolutionary Neural Architecture …
Recently proposed neural architecture search (NAS) algorithms adopt neural predictors to accelerate architecture search. The capability of neural predictors to accurately predict the performance me…
Fast and Unsupervised Neural Architecture Evolution for Visual Representation…
Unsupervised visual representation learning is one of the hottest topics in computer vision, yet performance still lags behind compared with the best supervised learning methods. At the same time, …
Evolutionary Multi-Objective Model Compression for Deep Neural Networks
While deep neural networks (DNNs) deliver state-of-the-art accuracy on various applications from face recognition to language translation, it comes at the cost of high computational and space compl…
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