School of Business, Hunan Agricultural University, Changsha 410128, China.
Comput Intell Neurosci. 2022 Jul 11;2022:7330078. doi: 10.1155/2022/7330078. eCollection 2022.
Agriculture is a basic and pillar industry. With the integration and development of Internet+, platform economy, and various industries, the business model of agriculture-related platforms is also constantly innovating. In this context, it is necessary to recommend suitable business models for different types of agriculture-related platforms. Based on the characteristics of agriculture-related platforms and various business models, this paper proposes a business model recommendation algorithm based on radial basis function neural network (RBFNN). This method trains the RBFNN model with the goal of maximizing the correlation between agricultural-related platforms and business models. In the application stage, for a specific agriculture-related platform, after inputting its characteristic parameters, a suitable business model can be recommended. In the experiment, the proposed method is tested and verified with relevant data, and the results show the effectiveness of the method.
农业是基础性和支柱性产业。随着互联网+、平台经济与各行业的融合发展，涉农平台的商业模式也在不断创新。在此背景下，需要为不同类型的涉农平台推荐合适的商业模式。本文基于涉农平台的特点和各种商业模式，提出了一种基于径向基函数神经网络（RBFNN）的商业模式推荐算法。该方法以最大化涉农平台与商业模式之间的相关性为目标来训练 RBFNN 模型。在应用阶段，对于特定的涉农平台，在输入其特征参数后，可推荐合适的商业模式。在实验中，使用相关数据对所提出的方法进行了测试和验证，结果表明该方法是有效的。
