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The application research of neural network and BP algorithm in stock price pattern classification and prediction
D Zhang, S Lou - Future Generation Computer Systems, 2021 - Elsevier
Under the background of big data and Internet finance, quantitative investment is becoming
more and more critical, and the prediction of the stock price has become the focus of …
more and more critical, and the prediction of the stock price has become the focus of …
A new intelligent and data-driven product quality control system of industrial valve manufacturing process in CPS
J Pang, N Zhang, Q **ing the superhydrophobic surface: An experimental and predictive study
Water freezing has a significant and non-negligible influence on the aircraft, power
transmission lines and operational efficiency of industrial facilities. Therefore, it is of great …
transmission lines and operational efficiency of industrial facilities. Therefore, it is of great …
GA-BP neural network-based strain prediction in full-scale static testing of wind turbine blades
Z Liu, X Liu, K Wang, Z Liang, JAFO Correia… - Energies, 2019 - mdpi.com
This paper proposes a strain prediction method for wind turbine blades using genetic
algorithm back propagation neural networks (GA-BPNNs) with applied loads, loading …
algorithm back propagation neural networks (GA-BPNNs) with applied loads, loading …
Design of building construction safety prediction model based on optimized BP neural network algorithm
In order to solve the safety problem of the construction industry, the construction safety
prediction model based on the optimized BP neural network algorithm is designed in this …
prediction model based on the optimized BP neural network algorithm is designed in this …
Transformer fault diagnosis based on BP‐Adaboost and PNN series connection
C Yan, M Li, W Liu - Mathematical Problems in Engineering, 2019 - Wiley Online Library
Dissolved gas‐in‐oil analysis (DGA) is a powerful method to diagnose and detect
transformer faults. It is of profound significance for the accurate and rapid determination of …
transformer faults. It is of profound significance for the accurate and rapid determination of …
[Retracted] Sales Forecast of Marketing Brand Based on BP Neural Network Model
W Feng - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
With the advancement of globalization, the market competition among enterprises has
become increasingly intense. To win a good market, an enterprise must understand and …
become increasingly intense. To win a good market, an enterprise must understand and …
Fault detection method for ship equipment based on BP neural network
G Wu - 2018 International Conference on Robots & Intelligent …, 2018 - ieeexplore.ieee.org
Fault detection is of great importance for ship equipment's maintenance and repair,
therefore, in this paper, we propose a novel fault detection method for ship equipment based …
therefore, in this paper, we propose a novel fault detection method for ship equipment based …
Energy efficient resource selection and allocation strategy for virtual machine consolidation in cloud datacenters
Y Chang, C Gu, F Luo, G Fan, W Fu - IEICE TRANSACTIONS on …, 2018 - search.ieice.org
Virtual Machine Placement (VMP) plays an important role in ensuring efficient resource
provisioning of physical machines (PMs) and energy efficiency in Infrastructure as a Service …
provisioning of physical machines (PMs) and energy efficiency in Infrastructure as a Service …
Forecasting construction project cost based on BP neural network
X Wang - 2018 10th International Conference on Measuring …, 2018 - ieeexplore.ieee.org
Cost prediction for the construct project relies on the overall development policy of the
project and the development of the related management system based on all related …
project and the development of the related management system based on all related …