Abstract: In this paper, we propose a stacked model with autoencoder for financial time series prediction. A stacked autoencoder model is used for feature extraction of high-dimensional stock factors.
SHENZHEN, China, Feb. 14, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they Announced the deep optimization of stacked sparse ...
Abstract: Accurate monitoring of key process variables is essential for biopharmaceutical manufacturing, but the direct measurements are often costly and involve substantial time delays. Data-driven ...
There was an error while loading. Please reload this page. MNIST Image Denoising using a Stacked Autoencoder This repository contains a Jupyter notebook demonstrating ...
Data-driven industrial soft sensor modeling techniques have been widely applied in predicting key variables in complex industrial processes. However, with industrial processes becoming increasingly ...
Tesi di laurea magistrale: è stata implementata un’architettura in grado di comprimere l’input e apprendere una rappresentazione significativa, sfruttando un numero limitato di qubit.
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