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Research on the calibration of binocular camera based on BP neural network optimized by improved genetic simulated annealing algorithm
2020
IEEE Access
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A method based on BP neural network optimized by improved genetic simulated annealing algorithm (IGSAA-BP) is proposed to solve these problems to complete the binocular camera calibration. ...
The crossover and mutation probability of genetic simulated annealing algorithm and the annealing criterion are improved, the IGSAA-BP neural network is used to calibrate the binocular camera. ...
In this paper, a method based on BP neural network optimized by improved genetic simulated annealing algorithm (IGSAA-BP) is proposed for binocular camera calibration, which overcomes the disadvantages ...
doi:10.1109/access.2020.2992652
fatcat:w7n2et2zsrh2xbpe2cecnvvfge
Comparative Research on GPS Height Fitting Methods based on Neural Network
2012
Procedia Engineering
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Characteristics and precision of BP neural network, genetic neural network and annealing neural network applied in GPS height fitting were hereby compared and analyzed to improve the precision of transforming ...
The results indicated that Genetic Neural Network method is superior to BP neural network method as well as Annealing Neural Network 1 method with good precision through several instances. ...
So, based on the characteristics of the gradient BP algorithm and probability jump of the simulated annealing neural network, the BP algorithm is regarded as the main frame; while in the training process ...
doi:10.1016/j.proeng.2012.01.793
fatcat:ofdrnrhlgngill7ejbwqav4tsi
Traffic Flow Control using Neural Network
2012
International Journal of Applied Information Systems
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Intelligent Transportation Systems (ITS) are used to avoid these problems and improve efficiency, safety and service. Traffic Flow Forecasting is an important part of ITS [1][2]. ...
with efficient movement of traffic and minimal traffic congestion problems. ...
In this paper following three methods for TFF are studied: 1. Based On BP Neural Network [4] 2. Using Simulated Annealing Genetic BP NN [5] 3. ...
doi:10.5120/ijais12-450115
fatcat:kay5ppaiknanrpmti5ad22kv4m
Research on indoor positioning algorithm based on SAGA-BP neural network
2021
IEEE Sensors Journal
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In order to improve the accuracy of ZigBee indoor positioning, this paper proposes an indoor positioning algorithm of annealing algorithm (SA) and genetic algorithm (GA) optimized neural network (SAGA-BP ...
Then use the mechanism of the annealing algorithm combined with the genetic algorithm to optimize the initial weight and initial threshold of the neural network algorithm, so that it can quickly jump out ...
In the neural network optimization positioning algorithm, Shaogang Liu et al [15] proposed a BP neural network indoor positioning system based on genetic algorithm optimization parameters. ...
doi:10.1109/jsen.2021.3120882
fatcat:7spn3h476fdiddpyavzrpj74ze
Predictive control of Si content in blast furnace smelting based on improved SA-BP
2021
Journal of Mines, Metals and Fuels
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Through correlation and analysis of the correlation between lag time, before and after the two largest furnace, with improved simulated annealing algorithm to determine the optimal initial weights, the ...
content of Si, the N furnace of S content, the quantity of coal and air PML FL as input, the contents of Si in n+1 furnace as output to establish dynamic prediction model of improved SA-BP neural network ...
Fig. 3 3 Improved simulated annealing algorithm flow 4.0 Basic theory of BP neural network
Fig. 4 4 BP neural network model
Fig. 7 : 7 Common BP prediction model error analysis
Fig. 8 : 8 Based on ...
doi:10.18311/jmmf/2021/28076
fatcat:ngrq55leybdinhpci2pudozhte
BP Neural Network Based on Simulated Annealing Algorithm Optimization for Financial Crisis Dynamic Early Warning Model
2021
Computational Intelligence and Neuroscience
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Based on the BP neural network t early warning model optimized by the simulated annealing algorithm, the prediction effects of the model are compared from the perspectives of model accuracy and variable ...
The BP neural network early warning model optimized based on the simulated annealing algorithm has good prediction accuracy and good practical significance. ...
Acknowledgments is study was supported by Project of Anhui Provincial Philosophy and Social Science Planning: Research on the High-Quality Development Mode and PATH of Anhui Smart Pension Industry in 5G ...
doi:10.1155/2021/4034903
pmid:34659390
pmcid:PMC8516548
fatcat:4bbg6m575zasfjptiasnopdgj4
Effect Evaluation of Electronic Health PDCA Nursing in Treatment of Childhood Asthma with Artificial Intelligence
2022
Journal of Healthcare Engineering
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optimize the BP neural network, and an improved genetic simulated annealing BP network (IGSA-BP) is proposed. ...
In view of the problems that the genetic algorithm falls into local minimum and simulated annealing algorithm has a slow convergence speed, the improved genetic simulated annealing algorithm is used to ...
Method In this work, the genetic algorithm and the simulated annealing algorithm are combined and improved first, and then the improved algorithm is combined with the BP network. ...
doi:10.1155/2022/2005196
pmid:35388323
pmcid:PMC8979696
fatcat:xktalcf6f5hqxcorn54vd4yuka
Modeling and Analysis of Adaptive Temperature Compensation for Humidity Sensors
2019
Electronics
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The least squares method and back propagation (BP) neural network improved by a genetic simulated annealing algorithm (GSA-BP) were used to compensate the measured humidity data of different temperature ...
The experimental results show that the adaptive segmentation compensation method can significantly improve the measured error of the humidity sensor over a wide temperature range. ...
Figure 5 . 5 Flow chart of compensation algorithm based on genetic simulated annealing (GSA-BP).
Figure 5 . 5 Flow chart of compensation algorithm based on genetic simulated annealing (GSA-BP). ...
doi:10.3390/electronics8040425
fatcat:uoimkwcjubhwzifuuedrfpxp6a
Research on security situation assessment algorithm under virtual technology of cloud platform
2021
MATEC Web of Conferences
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genetic simulated annealing algorithm OAGSAA is proposed, and applied to BP neural network, which can effectively analyze and evaluate the security status of the virtual layer. ...
This paper aims at a large number of virtual machines deployed in cloud platforms, on the basis of analysis and extraction of virtual layer security situation assessment elements, an improved adaptive ...
situation prediction method. 3 Improved adaptive genetic simulated annealing algorithm (OAGSAA)
Introduction to basic algorithms Genetic Algorithm (GA) is a global search method based on natural selection ...
doi:10.1051/matecconf/202133608004
fatcat:eejluwe4pfhzrkckmvjflsl3be
Music Emotion Analysis Based on PSO-BP Neural Network and Big Data Analysis
2021
Computational Intelligence and Neuroscience
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Firstly, a music emotion expression analysis model based on PSO-BP neural network algorithm is proposed. The autocorrelation function is used to simulate the emotion expression information in music. ...
Based on this, this paper studies the influence factors of music emotion expression based on PSO-BP neural network and big data analysis. ...
based on the improved PSO-BP neural network algorithm [15] . ...
doi:10.1155/2021/6592938
pmid:34527043
pmcid:PMC8437609
fatcat:2pxrhhfdabbkpbycnd2uhrq4zm
A Hybrid Simulated Annealing and Back-Propagation Algorithm for Feed forward Neural Network to Detect Credit Card Fraud
2017
UHD Journal of Science and Technology
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This paper suggested an anomaly detection model based on a hybrid simulated annealing (SA) and back-propagation algorithm for feed-forward neural network (FFNN), which joined the significant global searching ...
Index Terms: Artificial Neural Network, Back-propagation, Back-propagation Feed-forward Neural Network, Feedforward Neural Network, Simulated Annealing, Simulated Annealing-back-propagation Feed-forward ...
doi:10.21928/uhdjst.v1n2y2017.pp31-36
fatcat:ie6ncdqi4fhffmjgfgysz2gp64
Influence of Ideological and Political Integration of Curriculum Based on Deep Learning on the Teaching Design of Sports Aerobics
2022
Mathematical Problems in Engineering
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Therefore, this paper proposes a method for evaluating the impact of deep learning-based CIAP integration into the sports aerobics teaching design. ...
Among them, artificial neural networks (ANNs) have a high degree of nonlinear learning ability, and ANN algorithms have been widely used in data mining applications. ...
algorithm with the simulated annealing method to form a new algorithm, which takes into account the advantages of both the BP algorithm and the simulated annealing algorithm. (2) In this paper, ANN has ...
doi:10.1155/2022/8018962
fatcat:abupiedqjnczbpaqfznbagm2ii
A New Supervised Learning Algorithm Based on Genetic Inheritance for Spiking Neural Networks
2018
Journal of Physics, Conference Series
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The Error Backpropagation (BP) algorithm based on gradient descent is a general method of training Artificial Neural Networks (ANNs). ...
The first BP algorithm for multi-layer feed forward spiking neural network is called SpikeProp algorithm [3] . After that, lots of BP family methods were applied to train SNNs. ...
doi:10.1088/1742-6596/1069/1/012093
fatcat:dhqmj24kczhz3igc2zib57iw2q
Internet Financial Risk Monitoring and Evaluation Based on GABP Algorithm
2022
Journal of Mathematics
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The GABP network optimized by simulated annealing method has better global convergence, higher learning efficiency, and prediction accuracy than the traditional BP and GABP neural network, achieves better ...
Finally, GABP is further optimized by the simulated annealing (SA) algorithm. ...
GA is based on the evolutionary ideas and inspiration of a global optimization algorithm and in essence is a kind of direct search method that does not depend on specific problems; it simulates the replication ...
doi:10.1155/2022/4807428
fatcat:wqpnppyhlfevbfuk6kp4xiutie
Page 290 of The Journal of the Operational Research Society Vol. 60, Issue 2
[page]
2009
The Journal of the Operational Research Society
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
A scatter-search-based learning algorithm for neural network training. J Heuristics 2: 129-146.
Kirkpatrick S, Gelatt Jr CD and Vecchi MP (1983). Optimization by simulated annealing. ...
Evolutionary learning of modular neural networks with genetic programming. Appl Intell 9: 191-200.
69 x 107! N/A N/A N/A
Eglese RW (1990). Simulated annealing: a tool for operational research. ...
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