CAJ | 학술논문

针对黑龙江省创意产业集群内企业选择和利用何种互补性知识更有利于促进集群知识共享与传播、加速产业机构升级的问题，采用BP神经网络模型来评价创意产业集群知识互补度，构建了创意产业集群知识互补度的评价指标体系，提出了基于BP神经网络的创意产业集群知识互补度评价方法。研究显示，BP神经网络是一种非线性映射模式，在指标间相关度较高、呈非线性变化，或数据缺漏不全等情况下仍可得出预测结果，为促进集群知识共享、传播与运用提供理论支持，并为黑龙江省创意产业集群效应的提高和创意产业结构的升级提供决策依据。
침대흑룡강성창의산업집군내기업선택화이용하충호보성지식경유리우촉진집군지식공향여전파、가속산업궤구승급적문제，채용BP신경망락모형래평개창의산업집군지식호보도，구건료창의산업집군지식호보도적평개지표체계，제출료기우BP신경망락적창의산업집군지식호보도평개방법。연구현시，BP신경망락시일충비선성영사모식，재지표간상관도교고、정비선성변화，혹수거결루불전등정황하잉가득출예측결과，위촉진집군지식공향、전파여운용제공이론지지，병위흑룡강성창의산업집군효응적제고화창의산업결구적승급제공결책의거。
Focusing on which complementary knowledge is chose and used for cluster enterprises of Heilongjiang creative industry to promote cluster knowledge sharing and dissemination and speed up the upgrade of industrialstructure, the BP neural network model was applied to evaluate the degree of knowledge complementary within the creative industry cluster. The creative industry cluster evaluation index system of knowledge complementary degreehas been constructed. Simultaneously,the method has been proposed to evaluate the creative industry cluster knowledge complementary degree based on BP Neural Networks. The study indicates that BP neural network is amodel without linear mapping. It can give the forecast result while the indices with a high level of correlation, nonlinear changing and data lacking. And, it promotes the theoretical support for the knowledge sharing, dissemination and application of creative industry cluster enterprises. It also provides the decision-making basis for the improvement of Heilongjiang creative industry cluster effect and the upgrade of Heilongjiang creative industrial structure.