In this paper, we study the radial neural network algorithm for low-carbon circular economy in forest area, design a coupled development evaluation model, study its algorithmic ideas operation mode and the update formula obtained by standard algorithm, and finally optimize the RBF neural network by particle swarm algorithm. After an in-depth analysis of the particle swarm algorithm, an improved particle swarm algorithm is proposed to improve the search accuracy and capability of the algorithm by nonlinearly adjusting the inertia weights and introducing the average extreme value factor, in response to the problems of premature convergence and poor search capability that appear in the particle swarm algorithm. Through the analysis and evaluation of the interaction between industrial ecosystem and carbon emission, the main influencing factors of carbon emission are identified, and the size and magnitude of the influence of economic growth, industrial structure, energy intensity, and energy structure on carbon emission are determined; the current situation of the industrial ecological structure is evaluated, and the direction of optimization and adjustment of industrial economic structure, energy structure, and ecological structure is clarified. We construct a multidimensional multiconstraint multimodel industrial ecological structure optimization prediction model, set the development scenarios of economy and society, and optimize the prediction of low-carbon industrial ecological structure in forest areas; based on the simulation analysis of the prediction results, we propose the direction of industrial ecological structure adjustment and the path of industrial ecological system construction.

中文翻译：

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基于径向基神经网络的林区低碳循环经济耦合发展评价模型

本文研究了林区低碳循环经济的径向神经网络算法，设计了耦合发展评价模型，研究了其算法思路，工作模式和标准算法获得的更新公式，最终优化了RBF神经网络。通过粒子群算法。通过对粒子群算法的深入分析，提出了一种改进的粒子群算法，通过对惯性权重进行非线性调整并引入平均极值因子，以解决该问题，从而提高了算法的搜索精度和性能。粒子群算法中出现的收敛性和搜索能力差。通过对工业生态系统与碳排放之间相互作用的分析和评估，确定了碳排放的主要影响因素，确定了经济增长，产业结构，能源强度和能源结构对碳排放影响的大小和大小。评估了产业生态结构的现状，明确了产业经济结构，能源结构和生态结构的优化调整方向。构建多维多约束多模型产业生态结构优化预测模型，设定经济社会发展前景，优化林区低碳产业生态结构预测；基于对预测结果的仿真分析，