BP Neural Network Application Research in Petrochemical Tower System Corrosion Prediction

Fan, Yu; He, Min; Lin, Hong Xian; Chen, Bing; Zhou, San Ping

doi:10.4028/www.scientific.net/amm.488-489.487

Cited by 6 publications

(5 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The novelty of the proposed method lies in the selection of classification attributes and the binary classification of perceptron algorithm. Reference [23] is aimed at applying ANN to predict the bulk density of composite aggregates, i.e. coarse, medium, and fine aggregates.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Analysis and Application of Preschool Education Language Teaching Quality Based on Deep Neural Network

Niu²

2022

Journal of Sensors

View full text Add to dashboard Cite

Language is the cornerstone of children’s learning knowledge and exploring the world. Language teaching is an indispensable part of early childhood education, which can help children improve their communication ability and help children communicate with classmates and teachers in school. The teaching form of preschool language education is too single, which does not conform to children’s own learning ability. Therefore, in teaching, teachers should actively optimize the language environment to make children willing to express themselves in language: introducing game activities to make children want to express themselves in language. With the help of situational display, children like to express themselves in language and carry out performance activities to give children the opportunity to express themselves in language. With the help of home force, children dare to express themselves in language. Children are in a dynamic stage of rapid growth. In order to enable children to learn language effectively, teachers should make clear the development center of children and their mastery of language. To guide language teaching in accordance with students’ aptitude for a long time, at the same time, we should update our rigid views on children at any time, boldly innovate the content and thinking mode of children’s language teaching activities, and mobilize children’s initiative and enthusiasm to participate in language learning, so that they can achieve the language learning goals of being able to speak, loving to speak and bravely speaking. This paper selects the learning situation of preschool children as the object, establishes an evaluation model by using the hybrid GA-BP neural network method, and makes an empirical analysis on the development of preschool education in Liaoning Province. The GA-BP neural network model is trained by MATLAB 7.0, and the simulation results show that the model can evaluate the development of preschool education scientifically, and it is scientific and practical. According to the results of this paper, the corresponding evaluation model of preschool education language teaching quality is put forward, which makes a good prediction preparation for children to learn language better in advance.

show abstract

Section: Introductionmentioning

confidence: 99%

Intelligent Analysis and Application of Preschool Education Language Teaching Quality Based on Deep Neural Network

Niu²

2022

Journal of Sensors

View full text Add to dashboard Cite

show abstract

“…In addition, in order to eliminate dimensional differences between characteristic data, data need to be standardized [16]. The commonly used methods include the min-max and z-score standardization methods [17,18]. In this paper, z-score standardization was adopted to form a standardized matrix of the sample data matrix.…”

Section: Data Processing and Analytical Methodsmentioning

confidence: 99%

Optimization of Sensor Array for Detection of Abalone Freshness Based on Electronic Tongue

Lv,

Yang,

et al. 2023

JNMES

View full text Add to dashboard Cite

Considering the shortcomings of traditional detection methods of abalone freshness, such as cumbersome operation and low accuracy, this study established a rapid detection method of abalone freshness by using an electronic tongue. A sensor array consisting of eight inert metal electrodes (Au, Pd, Pt, Ag, Ti, Al, Ni, W) was used for detection. However, the detection data of redundant sensors will affect the efficiency and accuracy of detection, so the sensor array needs to be optimized. The original sensor array consisting of eight inert metal electrodes was used to detect four kinds of abalone meat (refrigerated at 4℃ for 1 day, 4 days, 7 days and 10 days) with different freshness. The detection data were analyzed by one-way analysis of variance. According to the analysis results, Al and Pt electrodes with poor stability and differentiation were eliminated. Multiple comparative analysis of variance was used to conduct a significant analysis of the data of the remaining six electrodes. According to the significant difference, the electrodes without significant difference were divided into different groups to obtain four combinations. By combining principal component analysis and support vector classification, the performance of the original array composed of eight electrodes and the four groups of sensor arrays obtained after grouping were analyzed, and the most suitable sensor array for abalone freshness detection was selected. The results showed that the group III sensor array composed of Ag, Pd and Ti electrodes had the best effect on the freshness identification of abalone.

show abstract

“…The atmospheric tower of the Crude oil distillation unit is to conduct a processing of crude oil distillation unit. Because of the chloride and sulfide in the crude oil heated is hydrolyzed to generate corrosion medium HCl and H 2 S, At the top of the tower system which lies in about 100℃-150℃ low temperature part,in here the gas turn into liquid,it is Composited into HCl-H 2 S-H 2 O or HCl-H 2 O liquid corrosion environment.Low-temperature parts of the tower metal materials have serious corrosion ,known as the dew point corrosion.Because of its partial concealment and sudden, dew point corrosion often cause more damage [1].…”

Section: Prefacementioning

confidence: 99%

Study on the Dew Point Corrosion Mechanism of Atmospheric and Vacuum Distillation Unit Low-Temperature Part

Lin

Fan

2013

AMR

View full text Add to dashboard Cite

In view of dew point corrosion for the emergence of low-temperature part of atmospheric and vacuum distillation unit, from the analysis of the main factors for the impact of dew-point temperature,we make the calculation of the dew-point temperature and composition of the liquid .And it is calculated through the examples of calculation steps. We can get a different component content will lead to the different dew point temperature, when the dew point temperature changes, the liquid component of the dew-point percentage and the position with the corresponding change.

show abstract

BP Neural Network Application Research in Petrochemical Tower System Corrosion Prediction

Cited by 6 publications

References 2 publications

Intelligent Analysis and Application of Preschool Education Language Teaching Quality Based on Deep Neural Network

Intelligent Analysis and Application of Preschool Education Language Teaching Quality Based on Deep Neural Network

Optimization of Sensor Array for Detection of Abalone Freshness Based on Electronic Tongue

Study on the Dew Point Corrosion Mechanism of Atmospheric and Vacuum Distillation Unit Low-Temperature Part

Contact Info

Product

Resources

About