Research on the Route Pricing Optimization Model of the Car‐Free Carrier Platform Based on the BP Neural Network Algorithm

Du, Yu-Ang

doi:10.1155/2021/8204214

Cited by 15 publications

(10 citation statements)

References 34 publications

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“…The curriculum system is complete. The understanding and specific practices are also representative in domestic colleges and can be used as a complete observation case [ 20 ].…”

Section: Experiments On the Curriculum Establish Of Ideological And P...mentioning

confidence: 99%

Construction of Curriculum Ideological and Political Collaborative Education Mechanism Based on Edge Computing and Neural Network Algorithm

Yang

Rao

et al. 2022

Computational Intelligence and Neuroscience

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The ideological and political collaborative education mechanism is an important course teaching method that uses all courses as a carrier to cultivate students' all-round development in morality, intelligence, physique, and beauty. The purpose of this paper is to conduct a better research on the construction of the ideological and political collaborative education mechanism by building models based on edge computing and neural network algorithm. This paper first gave a general introduction to edge computing and neural network algorithm and then analyzed the current situation of ideological and political courses in a certain school. Then, edge computing and neural network algorithm were introduced into the analysis of an important course teaching method that used all courses as a carrier to cultivate students’ comprehensive development in morality, intelligence, physique, and beauty. The BP neural network model was established. Through analysis and comparison, the experimental results showed that 56.47% of the students believed that the impact of personal morality on the future development of college students was the first in the relationship between “virtue” and “talent.” More than half of the students believed that the “virtue” of building morality and cultivating people was mainly civic morality, and about 30% of the students thought that the main value was loving the party and patriotism, which meant that most students believed that the main value of building morality and cultivating people was to establish morality.

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“…The curriculum system is complete. The understanding and specific practices are also representative in domestic colleges and can be used as a complete observation case [ 20 ].…”

Section: Experiments On the Curriculum Establish Of Ideological And P...mentioning

confidence: 99%

Construction of Curriculum Ideological and Political Collaborative Education Mechanism Based on Edge Computing and Neural Network Algorithm

Yang

Rao

et al. 2022

Computational Intelligence and Neuroscience

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“…Du designed a new feature point matching algorithm. The search strategy of this method adopts the deterministic annealing algorithm, which shows good robustness to false points, high proportion of missing points, and noise [7]. Kung proposed a matching algorithm similar to the iterative matching nearest point (ICP) method.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of BP Neural Network in Matching Algorithm of Network E-Commerce Platform

Zhang

2022

Journal of Sensors

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In order to solve the matching algorithm problem of network e-commerce platform, a method of applying BP neural network in the network e-commerce platform matching algorithm is proposed. First of all, combined with the actual situation of the platform, select 9 factors that are most in line with the company’s actual business model to influence the selection for analysis; secondly, import 60 sets of data into MATLAB software, measure the input and output data uniformly, and divide the sample data matrix into training set and test. Finally, after multiple factor combinations and verifications, it is concluded that in the training model of the five main factors, the prediction results of the model are compared with the real values. The feasibility of establishing the selection model based on BP neural network is proved. Online e-commerce platforms can refer to this model to build a product selection model that meets the needs of the platform, helping enterprises to achieve more efficient product selection work. Since the parameter initialization of the neural network is random, although the output results are different after the program runs for many times, the R2 is still stable between 0.7 and 1.0, which proves that the predicted value made by the system is highly approximate to the real value and can achieve the predicted effect.

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“…Step 2, the data features of used car samples are divided into numerical features and category features [12]. According to the difference of category features, category features are divided into category features with high bases and category features with low bases.…”

Section: Back Propagation Neural Network For Used Car Price Evaluationmentioning

confidence: 99%

“…In this experiment, we used a training and prediction model for a real dataset with 36 properties per dataset. In this paper, the data is cleaned and converted by data mining method [12].…”

Section: Datasets and Experimental Setupmentioning

confidence: 99%

Prediction of used car prices using back propagation neural network model based on mean encoding

Kan¹,

Jiang²,

Liu³

et al. 2023

Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022)

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With the growth of the used car market and the development of e-commerce platforms, the need for accurate valuation of used car prices is becoming more urgent. Accuracy of price evaluation is the key to the success of used car transactions. At present, the common methods are manual experience method, Monte Carlo method, etc. Among them, manual experience method and multi-attribute decision method are more mature and widely used in traditional pricing method, but they have some disadvantages such as large computation amount and low accuracy. Aiming at the above problems, a BP neural network model based on mean encoding is designed in this paper. After extracting the features of the model, BP neural network is used to study the pre-processing data to predict the price for the network output. In this paper, a real used car trading dataset was used to test the model. The 2 R error is 0.976. Compared with the SVM and the decision tree model, this model is more accurate.

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Research on the Route Pricing Optimization Model of the Car‐Free Carrier Platform Based on the BP Neural Network Algorithm

Cited by 15 publications

References 34 publications

Construction of Curriculum Ideological and Political Collaborative Education Mechanism Based on Edge Computing and Neural Network Algorithm

Construction of Curriculum Ideological and Political Collaborative Education Mechanism Based on Edge Computing and Neural Network Algorithm

Application of BP Neural Network in Matching Algorithm of Network E-Commerce Platform

Prediction of used car prices using back propagation neural network model based on mean encoding

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