Abstract

Industrial Internet, is a new generation of information technology and industrial system full range of deep integration of the product, mainly for the transformation and upgrading of the manufacturing industry, can greatly boost the development of productivity, to pull the real economy has an important role. However, as the industrial Internet is an emerging industry, its development and construction experience and capacity are still in the initial stage. The report to the 19th National Congress of the Communist Party of China made it clear that we will promote the deep integration of the Internet, big data, artificial intelligence and the real economy. After the financial crisis, the manufacturing industry once again became the focus of global attention. With the digital transformation of the manufacturing industry, the industrial Internet platform based on cloud computing, big data, Internet of Things, artificial intelligence and other new generation of information technology emerged. With the development of machine learning and deep learning, machine learning models such as genetic algorithm and gradient optimization have achieved good results in data classification, regression and fitting. Internet project evaluation based on industry characteristics, puts forward the improved analytic hierarchy process (ahp) based on machine learning methods, and machine learning algorithms and hierarchical analysis method, puts forward a new solution to the problem of the expert scoring to determine judgment matrix and in order to achieve the consistency and accuracy of the algorithm and introduce the weight of the particle swarm algorithm to adjust and sorting, Reduce the inaccuracy and complexity of ahp algorithm in the face of complex problems. To achieve the expert scoring more comprehensive consideration method, as well as more intelligent consistency adjustment and final weight calculation, the index of the industrial Internet design scheme weight calculation, finally according to the scoring scheme and the final hair there are final evaluation scores and further analysis and explanation of the results.

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