C&EN

Hybrid Series/Parallel All-Nonlinear Dynamic-Static Neural Networks: Development, Training, and Application to Chemical Processes

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This paper presents the development of data-driven hybrid nonlinear static-nonlinear ...
GitHub

Time Series Forecasting and Deep Learning

03 Nov 2019, Siteng Huang, et al.
eLife

Non-linear dimensionality reduction on extracellular waveforms reveals cell type diversity in premotor cortex

The processes involved in decision-making, such as deliberation on sensory evidence and the preparation and execution of motor actions, are thought to emerge from the coordinated dynamics within and ...
C&EN

Method Superior to Traditional Spectral Identification: FT-NIR Two-Dimensional Correlation Spectroscopy Combined with Deep Learning to Identify the Shelf Life of Fresh ...

College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China ...
Frontiers

Pancreatic Cancer Prediction Through an Artificial Neural Network

Early detection of pancreatic cancer is challenging because cancer-specific symptoms occur only at an advanced stage, and a reliable screening tool to identify high-risk patients is lacking. To ...
Frontiers

On Spike-Timing-Dependent-Plasticity, Memristive Devices, and Building a Self-Learning Visual Cortex

In this paper we present a very exciting overlap between emergent nanotechnology and neuroscience, which has been discovered by neuromorphic engineers. Specifically, we are linking one type of ...