Results 41 to 50 of about 66,774 (311)
Prediction error percentage of BP neural network.
, 2022 Prediction error percentage of BP neural network.
Zhaoxin Liu (3798190) +3 more
core +1 more source
Deformation prediction programming based on MATLAB and BP neural network [PDF]
, 2022 In order to solve land tension problems, high-rise buildings become more and more common in the modern big cities. Meanwhile, it is necessary to monitor the deformation of the high-rise buildings for their safety. Based on the deformation monitoring data,
Zheng Haoxin +5 more
core +1 more source
Energy Reports, 2022 In order to solve the problems of incomplete factors and inaccurate prediction in the current evaluation model of power transmission and transformation project, this paper uses the BP neural network algorithm optimized by simulated annealing genetic ...
Fei Chen +4 more
doaj +1 more source
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution [PDF]
, 2004 In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for the on-line back-propagation (BP) is proposed and used to seed an on-line ...
Plagianakos, V.P. +2 more
core +1 more source
Research on the Generalization Problem of BP Neural Network
IEEE AccessThe application of neural network models is becoming increasingly widespread.One of the most relevant aspects of neural networks is their generalization ability, which predicts situations that are not included in the training set. Research has shown that training set samples play a dominant role in the learning and training of back propagation (BP ...
Yanli Tian, Deyin Fu, Guangzheng Li
openaire +2 more sources
Gong-kuang zidonghua, 2016 Structure and working principle of anti-jamming valve on a drilling rig was analyzed, and BP neural network model of anti-jamming valve was established using original data of a quarry.
MA Wei, MA Fei, GUO Rong, GENG Xiaoguang
doaj +1 more source
Schematic diagram of BP neural network topology.
, 2022 Schematic diagram of BP neural network topology.
Zhaoxin Liu (3798190) +3 more
core +1 more source
Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Research on Fault Diagnosis of HMCVT Shift Hydraulic System Based on Optimized BPNN and CNN
Agriculture, 2023 There are some problems in the shifting process of hydraulic CVT, such as irregularity, low stability and high failure rate. In this paper, the BP neural network and convolutional neural network are used for fault diagnosis of the HMCVT hydraulic system.
Jiabo Wang +6 more
doaj +1 more source
, 2010 During the preliminary stage of rescue for earthquake disaster, some important information needs to be provided by identifying the key demand features such as quantity, necessary degree and urgent degree for emergency goods.
Song Xiaoyu +7 more
core +1 more source