Evaluation of maker space index system based on machine learning and intelligent interactive system

Author:

Chunhe Yang12

Affiliation:

1. School of Economics and Management, Harbin Engineering University, Harbin, China

2. Shenyang University, Shenyang, China

Abstract

Machine learning technology is the core of artificial intelligence and the basis of computer intelligence. In recent years, machine learning technology has integrated and developed different learning methods, and the research of integrated learning system with more flexible and efficient form is also emerging. In this paper, the authors analyze the maker space index system based on machine learning and intelligent interactive system. As a comprehensive innovation and entrepreneurship platform, mass innovation space has the characteristics of both existing entrepreneurship service system and knowledge innovation driven. Through the index score calculation, the related evaluation system is constructed, the final score of social support system is 61.4.Multi-factor performance evaluation system based on machine learning and artificial intelligence,this paper reveals the development and change law of maker space, and provides theoretical basis for the future operation and decision-making of maker space.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference27 articles.

1. Identification of informative genes and pathways using an improved penalized support vector machine with a weighting scheme;Chan;Computers in Biology & Medicine,2016

2. Sensor multi-fault diagnosis with improved support vector machines;Guo;IEEE Transactions on Automation Science & Engineering,2017

3. SVM-BT-RFE: An improved gene selection framework using Bayesian T-test embedded in support vector machine (recursive feature elimination) algorithm;Mishra;Karbala International Journal of Modern Science,2015

4. Vibrant fault diagnosis for hydro-electric generating unit based on support vector data description improved with fuzzy K nearest neighbor;Fu;Proceedings of the Csee,2014

5. An improved support vector regression model for estimation of saturation pressure of crude oils;Ansari;Fluid Phase Equilibria,2015

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