Results 51 to 60 of about 5,507,494 (254)

Research on improved BP neural network PID controller in gas concentration control

四川大学学报. 自然科学版, 2020
The process of gas concentration control in animal hypoxia experiment is timevarying and nonlinear，Combining BP neural network with traditional PID control can achieve better control results, but there are still some problems such as slow convergence ...
LI Hang, DU Fan, HU Xiao-Bing, ZHOU Shao-Wu   +3 more
doaj  

A static load position identification method for optical fiber-composite structures based on particle swarm optimization- back Propagation neural network algorithm

Measurement + Control, 2023
Aiming at researching on health monitoring of composite materials, a static load position identification method for optical-fiber composite structures based on the Particle Swarm Optimization-Back Propagation (PSO-BP) neural network algorithm is proposed.
LB Shen, LP Tian
doaj   +1 more source

BP neural network.

, 2015
BP neural network.
Xinzhong Zhang (319193), Chuitian Rong (811051), Bo Yan (57900), Xuemei Sun (811050)   +3 more
core   +1 more source

Dimensionless parameters-BP neural network model structure.

, 2021
Dimensionless parameters-BP neural network model structure.
Yuye Luo (11378300), Wenxiao Chu (11378303), Bo Yu (241082)   +2 more
core   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source

Fault Diagnosis of Power System Based on Improved Genetic Optimized BP-NN

MATEC Web of Conferences, 2015
BP neural network (Back-Propagation Neural Network, BP-NN) is one of the most widely neural network models and is applied to fault diagnosis of power system currently.
Yuan Pu, Mao Jianlin, Xiang Fenghong, Liu Lian, Zhang Maoxing   +4 more
doaj   +1 more source

A low-cost neural sorting network with O(1) time complexity [PDF]

, 2011
[[abstract]]In this paper, we present an O(1) time neural network with O(n1 + var epsilon) neurons and links to sort n data, var epsilon > 0. For large-size problems, it is desirable to have low-cost hardware solutions.
Lin, Shun-Shii;Hsu, Shen-Hsuan
core  

BP neural network model.

, 2019
BP neural network model.
Yu Zhang (12946), Xing Huang (129439), Huidong Jin (6433076)   +2 more
core   +1 more source

Prediction error analysis of BP neural network.

, 2022
Prediction error analysis of BP neural network.
Zhaoxin Liu (3798190), Jinliang Xu (8443134), Shuo Han (360375), Menghua Yan (11067940)   +3 more
core   +1 more source

Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices

Advanced Functional Materials, EarlyView.
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies, Bin Han, Paolo Samorì   +2 more
wiley   +1 more source