基于logistic回归和神经元模型的氢能源产业收益预测
熊昊辰
（福建江夏学院，福建 福州 350108）
摘要： 随着工业时代的到来，能源战略已成为国家核心战略，因而新能源得到了各国政府的青睐与重视，纷纷将新
能源纳入国家战略能源的范畴。氢能源是新能源领域中正在积极开发的无污染能源。基于此，以氢能源产业链中的龙头
企业为实验对象，使用logistic回归模型和神经元模型对氢能源产业的未来收益进行了预测。结合预测分析，发现氢能源
产业未来收益涨的可能性较大。研究氢能源产业发展预测对政府及投资公司都有着指引作用。
关键词： 氢能源；未来收益；logistic 回归模型；神经元；感知机
中图分类号： TK91     文献标志码： A     文章编号： 2095-0802-(2022)08-0016-04
Income Forecast of Hydrogen Energy Industry Based on Logistic Regression and Neuron Model
XIONG Haochen
(Fujian Jiangxia University, Fuzhou 350108, Fujian, China)
Abstract: With the advent of the industrial age, energy strategy has become the core strategy of the country, so new energy has
been favored and valued by governments around the world, and new energy has been included in the category of national strategic
energy. Hydrogen energy is a non-polluting energy that is being actively developed in the field of new energy. Based on this,
taking the leading enterprises in the hydrogen energy industry chain as the experimental objects, this paper used the logistic
regression model and the neuron model to predict the future income of the hydrogen energy industry. Combined with the forecast
analysis, it is found the future income of hydrogen energy industry is more likely to increase. Research on the development
forecast of hydrogen energy industry has a guiding role for the government and investment companies.

Key words: hydrogen energy; future income; logistic regression model; neuron; perceptron