Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: There exists similarity beten the structural acoustic-vibration of air craft under two kind of boundary conditions, which is very helpful to study the relations of the status of different mechanic environments. Support vector machines(SVMs) is employed here to establish the similarity relationship beten two groups of results for structural acoustic-vibration problem under two different mechanical environments. The selection of positive parameters of a support vector machine( SVM) model is important to accuracy of forecasting. A new hybrid of solution path algorithm(SP) and simulated annealing algorithm(SA) is proposed in this paper to optimize parameter selection. Tests and real project are presented to show the advantage of the proposed hybrid method, and the numerical results show the effectiveness of the algorithm.
['Liquan Mei', 'Shujuan Zhang', 'Zhiliang Zhou']
I am writing a research paper on a idea The coupling method of solution path and simulated annealing for similarity analysis of structural acoustic-vibration systems
[{"from": "human", "value": "I am writing a research paper on a idea The coupling method of solution path and simulated annealing for similarity analysis of structural acoustic-vibration systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: There exists similarity beten the structural acoustic-vibration of air craft under two kind of boundary conditions, which is very helpful to study the relations of the status of different mechanic environments. Support vector machines(SVMs) is employed here to establish the similarity relationship beten two groups of results for structural acoustic-vibration problem under two different mechanical environments. The selection of positive parameters of a support vector machine( SVM) model is important to accuracy of forecasting. A new hybrid of solution path algorithm(SP) and simulated annealing algorithm(SA) is proposed in this paper to optimize parameter selection. Tests and real project are presented to show the advantage of the proposed hybrid method, and the numerical results show the effectiveness of the algorithm."}]