Intelligent Storage Data Classification System Based on the BP Neural Network

Li, Minghui

doi:10.1155/2022/5771148

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…BP neural network continuously advances the sample training data from front to back, compares the value calculated by the network with the label value of the data, and propagates the error from back to front [23]. In the former process, the signal is input from the input layer, processed by the hidden layer, and eventually sent to the output layer.…”

Section: Prediction Of Personal Credit Processing Based On Machine Le...mentioning

confidence: 99%

Research on Precision Marketing Based on Consumer Portrait from the Perspective of Machine Learning

Zhang

2022

Wireless Communications and Mobile Computing

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With the advent of the big data era and the development of artificial intelligence, the traditional marketing model has undergone dramatic changes, and precision marketing has become the focus of current research. Consumer portrait is a labeled consumer model abstracted from the basic attributes, social attributes, behavior characteristics, and psychological characteristics of consumers, which can reflect the real needs of consumers well. Precision marketing based on consumer portraits is a fine division of consumers on the premise of in-depth understanding of consumer-related data. Based on the public dataset of a bank in a certain region, this paper extracts a series of data features such as basic attributes and social attributes of consumers to draw consumer portraits. BP neural network, SVM, and random forest algorithm in machine learning algorithm are used to model and predict whether consumers should take out personal loans, and then, the prediction effect of these algorithms is compared to judge which algorithm has better prediction effect. The results show that the random forest algorithm has the highest prediction accuracy, reaching an average of 94% in 10 calculations, which can help banks to select potential target customers to some extent.

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Section: Prediction Of Personal Credit Processing Based On Machine Le...mentioning

confidence: 99%

Research on Precision Marketing Based on Consumer Portrait from the Perspective of Machine Learning

Zhang

2022

Wireless Communications and Mobile Computing

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“…Different rotational speeds will form different velocity-field distributions in the hydrocyclone, thus producing different grading effects [16]. The Ansys Fluent 17.0 software (China Agent: Pera Corporation Ltd, Beijing, China) [17,18] was used to explore the internal-flow field distribution of the hydrocyclone at different rotational speeds, providing a theoretical basis for the selection of a self-rotational speed.…”

Section: Numerical Simulationmentioning

confidence: 99%

Experimental Research and Practice of Mineral Separation from Flotation Tailings Based on Self-Spinning Hydrocyclones

et al. 2022

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The high-ash tailings produced by flotation contains a large number of minerals that can be recycled. However, as the separation and purification technology for flotation tailings is not mature and separation efficiencies are low, it is generally treated as separation waste, resulting in the waste of mineral resources. In view of this phenomenon, the particle size composition and density composition of high-ash minerals in flotation tailings of coal slime as well as the type and content of mineral elements were measured. It was determined that the main mineral composition is quartz, and there is also a certain amount of chlorite (silicate mineral). A self-spinning hydrocyclone used for flotation tailings separation and purification was designed, and numerical simulation was carried out by fluent software. The internal flow field-, tangential velocity-, and axial velocity-distribution characteristics of the hydrocyclone at different rotational speeds were investigated. The physical model of the hydrocyclone was set up and the separation efficiency improvement test of fine particles was carried out. The results show that the overflow yield of −0.045 mm particles increased gradually with the increase in cylinder rotation speed. When the rotation speed increased to 900 r/min, the overflow yield of −0.045 mm particles can reach more than 90%, which can effectively realize the material classification according to 0.045 mm.

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“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

mentioning

confidence: 99%

Retracted: Intelligent Storage Data Classification System Based on the BP Neural Network

2023

Journal of Control Science and Engineering

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Intelligent Storage Data Classification System Based on the BP Neural Network

Cited by 3 publications

References 22 publications

Research on Precision Marketing Based on Consumer Portrait from the Perspective of Machine Learning

Research on Precision Marketing Based on Consumer Portrait from the Perspective of Machine Learning

Experimental Research and Practice of Mineral Separation from Flotation Tailings Based on Self-Spinning Hydrocyclones

Retracted: Intelligent Storage Data Classification System Based on the BP Neural Network

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