Study on the quality of Corydalis Rhizoma in Zhejiang based on multidimensional evaluation method

Y Li, M Zhao, R Tang, K Fang, H Zhang, X Kang… - Journal of …, 2024 - Elsevier
Ethnopharmacological relevance The quality requirements of Corydalis Rhizoma (CR) in
different producing areas are uniform, resulting in uneven efficacy. As a genuine producing …

A Fault Warning Approach Using an Enhanced Sand Cat Swarm Optimization Algorithm and a Generalized Neural Network

Y Pi, Y Tan, AM Golmohammadi, Y Guo, Y Xiao… - Processes, 2023 - mdpi.com
With the continuous development and complexity of industrial systems, various types of
industrial equipment and systems face increasing risks of failure during operation. Important …

A Hybrid Algorithm Based on Social Engineering and Artificial Neural Network for Fault Warning Detection in Hydraulic Turbines

Y Tan, C Zhan, Y Pi, C Zhang, J Song, Y Chen… - Mathematics, 2023 - mdpi.com
Hydraulic turbines constitute an essential component within the hydroelectric power
generation industry, contributing to renewable energy production with minimal …

Developing a hybrid algorithm based on an equilibrium optimizer and an improved backpropagation neural network for fault warning

J Liu, C Zhan, H Wang, X Zhang, X Liang, S Zheng… - Processes, 2023 - mdpi.com
In today's rapidly evolving manufacturing landscape with the advent of intelligent
technologies, ensuring smooth equipment operation and fostering stable business growth …

Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network

Q Guo, Y Zhuang, H Xu, W Li, H Li, Z Wu - Machines, 2025 - mdpi.com
As technology advances, so does digital farming, revolutionizing the industry. Drones,
sprayers equipped with GPS and other sensors, combine harvesters, and other machinery …