Given that only output variables of the system are measurable, the method employs fuzzy state observers to reconstruct other unmeasured states. Novel performance index functions that incorporate ...

Impact Statement: Autoencoder is a popular data-driven modeling technology in deep learning. It can deal with the nonlinear relationships among process variables, and has a powerful feature extraction ...

Autoencoder.py defines a class that pretrains and unrolls a deep autoencoder, as described in "Reducing the Dimensionality of Data with Neural Networks" by Hinton and Salakhutdinov. The layer ...

This project applies an autoencoder neural network to compress high-dimensional single-cell RNA sequencing (scRNA-seq) data into a lower-dimensional latent space. The resulting embeddings capture key ...