Number of nodes per layer: the autoencoder architecture we’re working on is called a stacked autoencoder since the layers are stacked one after another. Usually stacked The stacked auto-encoders is a ...

In this article, we propose a stack autoencoder transfer learning algorithm based on the class separation and domain fusion (SAE-CSDF) to solve these problems. According to the characteristics of ...

This paper proposes an effective deep learning method, enhanced stacked denoising autoencoder (ESDAE) with manifold regularization for wafer map pattern recognition (WMPR) in manufacturing processes.

sparse_reg]) For stacked autoencoder, there are more than one autoencoder in this network, in the script of "SAE_Softmax_MNIST.py", I defined two autoencoders: corruption_level = 0.3 sparse_reg = 0 # ...

We employed time–frequency analysis (TFA) and a stacked autoencoder (SAE), which is a deep neural network (DNN)-based learning algorithm, to assess the mobility and fall risk of the elderly according ...

SHENZHEN, China, Feb. 14, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they Announced the ...

We present a novel granular computing approach that assesses landslide risk by combining fuzzy information granulation and a stacked autoencoder algorithm. The stacked autoencoder is trained using an ...