KEYWORDS: Data mining, Analytical research, Data modeling, Mining, Process modeling, Power supplies, Library classification systems, Data storage, Switches, Solids
The traditional early warning method of power user complaints, the complaint classification management model is not perfect, and the prediction accuracy rate is low. For this reason, an early warning method for power user complaints is designed that integrates GBDT and Logistic. This paper obtains grid customer behavior preference data, focusing on mining potential customers. On this basis, customer satisfaction characteristics are extracted, which promotes customer demand feedback. This paper divides power customers into different categories and builds a complaint classification management model. This paper uses a decision tree as the basic learner, using GBDT and Logistic to establish a complaint early warning mode. The experimental results show that the average prediction accuracy of this method is 83.367% in the 5dB noise environment. The average prediction accuracy of this method is 53.602% in the 10dB noise environment. The prediction accuracy of this method is higher than the two compared methods, which shows that the method in this paper can achieve the purpose of improving the prediction accuracy.
As a new type of composite processing technology, coaxial water-jet assisted laser drilling (CWALD) has significant advantages in improving the surface quality of micro-holes compared with traditional laser processing. The filling drilling of the DD6 super alloy was carried out by a coaxial water-jet assisted pulsed nanosecond laser. The effects of laser pumping current, laser frequency, and water-jet velocity on the surface quality of micro-holes were studied by response surface methodology (RSM). The results of confocal microscope observation have shown that the surface quality of micro-holes decreases significantly with the increase of laser average power and laser frequency, and increases with the increase of water-jet velocity. This paper expounds on the causes of surface quality defects of micro-holes and uses the optimized process parameters to process micro-holes with low surface line roughness and good roundness.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.