BIOENGINEER

Neural network predicts structural damage signals where sensors cannot reach

An artificial neural network trained on finite element simulations can synthesize experimental acoustic emission damage ...
eLife

Dual reinforcement-learning network modules for modeling decision-making with multiple strategies

Laboratory of Neural Computation, Institute for Quantitative Biosciences, the University of Tokyo, Tokyo, Japan Department of Life Sciences, Graduate School of Arts and Sciences, the University of ...
GitHub

DEB ML Init

To obtain a DEB model, the calibration problem must be solved: find the parameters that minimize the deviation between observed data and model predictions. While DEB model calibration is largely ...
blog.csdn

【MATLAB】双馈风电并网矢量控制建模研究

本文基于MATLAB构建双馈风电并网系统模型，重点实现转子侧定子磁场定向矢量控制与电网侧直流母线电压控制。通过有功/无功 ...
eLife

The psychedelic DOI decreases the modularity of the cortical network by increasing cortico-cortical and thalamo-cortical functional influence

This important study combines cortex-wide activity imaging and optogenetics to characterize large-scale changes in functional connectivity following administration of the psychedelic DOI, as well as ...
spectroscopyonline

Near-Infrared Spectroscopy with Data Analysis Model for Rapid Identification of Huanglongbing in Gannan Navel Orange

Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified ...
BIOENGINEER

Smart Neural Network Steers Dual-Input Converter for Electric Vehicles

A 500 W laboratory prototype of a dual-input converter with a modified deep neural network controller achieved a peak ...