Network traffic prediction of the optimized BP neural network based on Glowworm Swarm Algorithm
Systems Science & Control Engineering, 2019 In order to improve the neural network structure and parameters set methods, on the basis of Glowworm Swarm Algorithm and the BP neural network, a Glowworm Swarm Algorithm to optimize the BP neural network algorithm is proposed.
Haitao Li
doaj +1 more source
Chemical Engineering Transactions, 2015 The BP neural network is the most mature and widely used artificial neural network model. It has the simple structure, strong operability and good self learning ability. This paper first introduce the neural network in general.
L. Li
doaj +1 more source
Effectively Measuring Respiratory Flow with Portable Pressure Data using Back Propagation Neural Network [PDF]
, 2018 Continuous respiratory monitoring is an important tool for clinical monitoring. The most widely used flow measure device is nasal cannulae connected to a pressure transducer.
Fan, D +6 more
core +1 more source
Study on factor-state artificial neural network model for water quality prediction
浙江大学学报. 农业与生命科学版, 2000 Research on factor neural network theory led to factor-state BP artificial neural network. Combination of informative diffusion with falling shadow technique forms information diffusion falling shadow technique together with factor BP artificial neural ...
GUO Zong-lou, SHEN Wei
doaj +1 more source
A novel ANN fault diagnosis system for power systems using dual GA loops in ANN training [PDF]
, 2000 Fault diagnosis is of great importance to the rapid restoration of power systems. Many techniques have been employed to solve this problem. In this paper, a novel Genetic Algorithm (GA) based neural network for fault diagnosis in power systems is ...
Bi, TS, Ni, YX, Shen, CM, Wu, FF
core +1 more source
Underground adaptive positioning algorithm based on SAPSO-BP neural network
Gong-kuang zidonghua, 2019 In view of problems of slow convergence, easy to form local extremum and large positioning error in strong time-varying electromagnetic environment of underground positioning algorithms based on traditional BP neural network, an underground adaptive ...
MO Shupei +3 more
doaj +1 more source
IEEE Access, 2020 The Back Propagation (BP) neural network has the problems of low accuracy and poor convergence in the process of binocular camera calibration. A method based on BP neural network optimized by improved genetic simulated annealing algorithm (IGSAA-BP) is ...
Long Chen, Fengfeng Zhang, Lining Sun
doaj +1 more source
Prediction of gas emission based on PCA-SAPSO-BP neural network
Meikuang Anquan, 2023 To improve the efficiency and accuracy of gas emission prediction in coal mine, in view of the multiple correlation and complexity of the influencing factors of gas emission, the principal component analysis method is proposed to reduce the dimension of
LIU Feng
doaj +1 more source
Direct Feedback Alignment with Sparse Connections for Local Learning [PDF]
, 2019 Recent advances in deep neural networks (DNNs) owe their success to training algorithms that use backpropagation and gradient-descent. Backpropagation, while highly effective on von Neumann architectures, becomes inefficient when scaling to large ...
Crafton, Brian +3 more
core +2 more sources
Prediction of Developing Modern Agriculture Demands for the Agricultural Scientific Research Institutions Services Based on BP Artificial Neural Network [PDF]
E3S Web of Conferences, 2019 BP artificial neural network model is used to predict developing modern agriculture demands for the agricultural scientific research institutions services.
Sun Hongyan +7 more
doaj +1 more source