| 基于模糊数学与神经网络的农业产业集群评价研究 |
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| 引用本文： | 朱春江. 基于模糊数学与神经网络的农业产业集群评价研究[J]. 中国农学通报, 2012, 28(12): 279-283. DOI: 10.11924/j.issn.1000-6850.2011-2799 |
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| 作者姓名： | 朱春江 |
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| 作者单位： | 连云港职业技术学院,江苏连云港,222006 |
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| 基金项目： | 2010年度江苏省高校哲学社会科学基金项目“连云港农业产业集群研究”（2010SJD630050）;江苏省青蓝工程资助项目（2008）.江苏省高校优秀中青年教师和校长境外研修计划资助（2011）;江苏省第四期“333高层次人才培养工程”资助（2011）. |
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| 摘 要： | 针对目前农业产业集群评价研究现状较少状况，尝试运用模糊数学方法对指标数据运用隶属度函数处理，以一级模糊综合评价向量作为神经网络评价模型的输入，再运用神经网络模型对农业产业集群进行评价，神经网络的非线性处理能力使农业产业集群评价更加科学化，并以连云港农业产业集群评价为例给出了实证研究。
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| 关 键 词： | 茶树 茶树 引种栽培 生态因子 调控技术 |
| 收稿时间： | 2011-09-28 |
| 修稿时间： | 2011-10-02 |
Study on Evaluation of Agricultural Industry Cluster Based on Fuzzy Mathematics and Neural Network Theory |
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| Zhu Chunjiang. Study on Evaluation of Agricultural Industry Cluster Based on Fuzzy Mathematics and Neural Network Theory[J]. Chinese Agricultural Science Bulletin, 2012, 28(12): 279-283. DOI: 10.11924/j.issn.1000-6850.2011-2799 |
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| Authors: | Zhu Chunjiang |
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| Affiliation: | Zhu Chunjiang (Lianyungang Technical College, Lianyungang Jiangsu 222006) |
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| Abstract: | For some cases of the less evaluation study on agricultural industry cluster, this article uses fuzzy mathematics membership functions to deal with the indicators data. The first level vector of fuzzy comprehensive evaluation is used as the inputs for the Neural Network evaluation model. Then the Neural Network evaluation mode is used to evaluate the level of agricultural industry cluster. Non-linear processing capacity of neural network makes the evaluation of agricultural industry cluster more scientific, and an empirical case study of the evaluation of aaricultural industrv cluster in Lianvungang is given_ |
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| Keywords: | fuzzy mathematics neural network agricultural industry cluster evaluation |
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