Hyper-sausage coverage function neuron model and learning algorithm for image classification

Ning, Xin; Tian, Weijuan; Feng, He; Bai, Xiao; Sun, Lin; Li, Weijun

doi:10.1016/j.patcog.2022.109216

Cited by 106 publications

(43 citation statements)

References 27 publications

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“…In the field of new energy, carbon neutrality is mainly achieved through the use of renewable energy (Shu et al, 2021;Ning et al, 2023). Renewable energy refers to natural renewable energy, such as solar energy, wind energy and biomass energy (Xiao et al, 2022).…”

Section: New Energymentioning

confidence: 99%

Path analysis of energy economic management standardization in the context of carbon neutralization and carbon peak

Liu

2023

Front. Ecol. Evol.

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Carbon neutrality and carbon peak are two important measures to control climate change. They have a huge impact on many companies in the fields of energy, industry, construction, transportation, etc. They can change the development pattern of related industries and increase many new investment and development opportunities. This paper proposes a path analysis of the standardization of energy economic management under the background of carbon neutrality and carbon peak, aiming to study the development forecast of energy economic management under low-carbon conditions. The algorithm proposed in this paper is an energy consumption analysis algorithm based on the IPAT model, which can be combined with the IPAT model to analyze and process energy consumption data. In addition, by analyzing and evaluating the contribution of various factors, people can better understand the impact of energy consumption on the environment and formulate corresponding solutions. The experimental analysis results of energy economic management based on carbon neutrality and carbon peak show that, from 2013 to 2017, under the baseline scenario, carbon emissions increased year by year, from 9.25 billion tons to 10.48 billion tons. Under the carbon neutral scenario, its carbon emissions are 9.22 billion tons, 9.24 billion tons, 9.22 billion tons, 9.19 billion tons and 9.21 billion tons respectively. Obviously, under the carbon neutral scenario, carbon emissions can be better controlled through carbon neutral and carbon peak strategies. Through these experimental prediction results, it can be proved that carbon neutrality and carbon peaking have excellent effects on promoting energy economic management. At the same time, this study also provides valuable reference information for further research on carbon neutrality and carbon peaks.

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Section: New Energymentioning

confidence: 99%

Path analysis of energy economic management standardization in the context of carbon neutralization and carbon peak

Liu

2023

Front. Ecol. Evol.

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“…The working principle of the electric vehicle heat pump air conditioning system is shown in Figure 1, which mainly consists of an electric compressor, a four-way reversing valve, an external heat exchanger, a liquid storage dryer, a capillary tube, an internal heat exchanger, and a fan (Zhou et al, 2017;Peng et al, 2021;Ning et al, 2023). The cooling cycle is similar to the heating cycle in that the direction of the mass flow can be changed simply by a four-way reversing valve.…”

Section: Working Principle Of the Electric Vehicle Heat Pump Air Cond...mentioning

confidence: 99%

Intelligent control system for the electric vehicle heat pump air conditioner based on machine learning

Ze-hua

2023

Front. Energy Res.

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In order to break through the existing battery technology of electric vehicles, this paper proposes to use heat pump air conditioning instead of the original PTC heating system potential. First, the advantages and disadvantages of different heat pump models for new energy vehicles are analyzed and compared. Second, a fuzzy inference system is constructed based on the machine learning model to observe the temperature of the passenger compartment using the temperature sensor inside the tram and to determine the need for the air conditioning system to be turned on in the heating/cooling mode by comparing it with the set temperature. Finally, the results show that the machine learning algorithm is able to monitor and adaptively adjust the interior temperature to further enhance the adaptability of the system with low volatility and high accuracy. The proposed research study can lay the foundation for further optimizing the design of heat pump air conditioners for electric vehicles.

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“…The population has increased in the forecast, but it has not reached the number in 2011. This will lead to the loss of talent to a certain extent, and reduce the number of professionals in the CCL industry (Ning et al, 2022). Cold chain technology.…”

Section: Limitationsmentioning

confidence: 99%

An improved machine learning model Shapley value-based to forecast demand for aquatic product supply chain

Huang

2023

Front. Ecol. Evol.

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Previous machine learning models usually faced the problem of poor performance, especially for aquatic product supply chains. In this study, we proposed a coupling machine learning model Shapely value-based to predict the CCL demand of aquatic products (CCLD-AP). We first select the key impact indicators through the gray correlation degree and finally determine the indicator system. Secondly, gray prediction, principal component regression analysis prediction, and BP neural network models are constructed from the perspective of time series, linear regression and nonlinear, combined with three single forecasts, a combined forecasting model is constructed, the error analysis of all prediction model results shows that the combined prediction results are more accurate. Finally, the trend extrapolation method and time series are combined to predict the independent variable influencing factor value and the CCLD-AP from 2023 to 2027. Our study can provide a reference for the progress of CCLD-AP in ports and their hinterland cities.

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Hyper-sausage coverage function neuron model and learning algorithm for image classification

Cited by 106 publications

References 27 publications

Path analysis of energy economic management standardization in the context of carbon neutralization and carbon peak

Path analysis of energy economic management standardization in the context of carbon neutralization and carbon peak

Intelligent control system for the electric vehicle heat pump air conditioner based on machine learning

An improved machine learning model Shapley value-based to forecast demand for aquatic product supply chain

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