Study On Traditional Chinese Medicine Industry Innovation Mechanism Of Belt And Road Initiative From The Perspective Of Complexity

Traditional Chinese Medicine(TMR)industry is an industrial system with representative and independent intellectual property advantages,scientific and technological resources with original advantages,excellent cultural resources and important ecological resources.It is also a strong starting point for Belt and Road Initiative(BRI)strategic implementation and the integrated construction of innovation system.However,affected by the lack of innovation ability of TMR industry,insufficient integration of innovation resources and other restrictive factors,the system and mechanism of TMR industry innovation needs to be improved.Based on the complexity characteristics,this paper deeply discusses the symbiosis mechanism,operating mechanism and driving mechanism of BRI-TMR industry innovation system.The main innovations of this paper are as follows:(1)Expounds the connotation and elements of the spatial complexity of BRI-TMR industry innovation,deeply analyzes the symbiosis mechanism of BRI-TMR industry innovation,constructs an evaluation model reflecting its spatial complexity characteristics,and puts forward a multi-objective improved particle swarm optimization algorithm based on population partition,which realizes the multi-agent modeling of particle memory interval and partition mechanism under the influence of spatial complexity factors.To realize the effective evaluation of its symbiosis degree.The particles in the population are divided into four regions according to the degree of particle convergence.According to the different characteristics of particles,a multi-strategy global optimal particle(gbest)selection method based on spatial complexity is proposed.The evaluation index system based on symbiosis unit,symbiosis model,symbiosis network and symbiosis environment is constructed to analyze the symbiosis state of BRI-TMR industry innovation.,get BRITMR industry innovation mechanism based on spatial complexity.(2)Reveals the characteristics of the structural complexity of BRI-TMR industry,constructs an evaluation model based on structural complexity to analyze the factors affecting the innovative operation of BRI-TMR industry,and expounds its innovation operation mechanism and path.In the study,the deep learning method is used to establish a multilevel complex neural network model system,the recurrent neural network is used to extract the time information,and the graph convolution network is used to extract the spatial relations of the countries along the route,and the spatio-temporal analysis model of BRI innovation system with multi-graph antagonism is constructed.Based on the three dimensions of knowledge innovation,technological innovation and open innovation,this paper makes an empirical study on the innovation operation mechanism of BRI-TMR industry,to make up for the defect that the role of time and space is difficult to quantify,and fully show the characteristics and laws of BRI-TMR industry.(3)Systematically analyzes the environmental complexity characteristics of BRI-TMR industry,studies the innovation driving force of BRI-TMR industry,constructs an environmental noise elimination algorithm that can completely eliminate the influence of environmental factors,carries out empirical research through four-stage DEA analysis,tries to find out the fundamental factors restricting innovation-driven growth of BRI-TMR industry,and reveals the key path of the integrated development of BRI-TMR industry.