ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam +3 more
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RETRACTION: The Analysis of Sharing Economy on New Business Model Based on BP Neural Network. [PDF]
Comput Intell NeurosciIntelligence And Neuroscience C.
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Integrating EPSOSA-BP neural network algorithm for enhanced accuracy and robustness in optimizing coronary artery disease prediction. [PDF]
Sci RepLi C +5 more
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Hazard evaluation of goaf based on DBO algorithm coupled with BP neural network. [PDF]
HeliyonWang W +5 more
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Multi-Objective Optimization of Injection Molding Process Parameters for Junction Boxes Based on BP Neural Network and NSGA-II Algorithm. [PDF]
Materials (Basel)Hong T +5 more
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Research on prediction of high energy microseismic events in rock burst mines based on BP neural network. [PDF]
Sci RepWang H, Xu L, Yu H, Zhang J.
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Research on bearing fault diagnosis based on improved genetic algorithm and BP neural network. [PDF]
Sci RepChen Z +7 more
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BP-Neural Network for Plate Number Recognition
International Journal of Digital Crime and Forensics, 2016The License Plate Recognition (LPR) as one crucial part of intelligent traffic systems has been broadly investigated since the boosting of computer vision techniques. The motivation of this paper is to probe in plate number recognition which is an important part of traffic surveillance events.
Jia Wang, Wei Qi Yan 0001
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An Improvement and Application of Genetic BP Neural Network
2015 11th International Conference on Computational Intelligence and Security (CIS), 2015Reasonable network structure can obviously improve the learning speed and generalization ability of BP network. In this paper, an improved method to determine the number of hidden layer neurons is proposed. The method mainly takes the theory of linear correlation analysis to delete the redundant nodes and assign the weights related to others.
Juan Yang, Li Huang
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The Application of BP Neural Network in the Opioid Crisis
2020In order to solve the opioid crisis which broke out in the United States, the diffusion model suitable for the problem is established, inspired by the error inverse propagation model. By observing the diffusion characteristics of opioids between the five states and their counties, the locations where each state began to use specific opioids are ...
Dongbing Liu, Wenbin Liu
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