Browse Conferences
The Fuzzy Control Method Based on Dynamic Self-optimization
Aiming at the problem that the control environment of the ball mill and the coal quality, humidity, hardness, steel ball filling factor, armor wear degree, etc. have a great influence on the operation characteristics of the mill, and the pr...
The Fault Diagnosis Method Based on Fuzzy Neural Network
In dealing with the problems of fuzzy reasoning and neural network(FNN) methods in pattern recognition, the paper proposes a fault reasoning method based on fuzzy neural network. The proposed FNN identifies the structure and parameters, and...
Application of Big Data Processing Technology in Power Marketing System
Based on multi data fusion, this paper introduces a retrieval model for audio frequency data, which is combined with big data and applied to information retrieval. Firstly, the model is pre trained, and then the network parameters are fine-...
An Information Fusion Technology for Statistical Analysis of Computer Professional Certificates
In order to adapt to the information construction, improve work efficiency and reduce the work pressure of staff, this set of certificate statistical analysis system is developed. Using this system, we can easily count and analyze the acqui...
A Study on the Collision of Artificial Intelligence and Art Based on Generative Adversarial Networks (GAN)
The cross-collision of artificial intelligence and art has attracted significant attention in related fields, such as the migration and integration of painting styles. Due to the inherent differences of different painting techniques, direct...
Research on Ink Speed Recognition Method of Hyperspectral Imaging Ink Pad Based on Machine Learning
In this paper, the classification models in machine learning were combined with hyperspectral imaging technology to identify different brands or different models of stamp-pad inks of the same brand. Spectral acquisition of stamp-pad ink was...
Improvement of Attribute Reduction Classification Algorithm Based on Rough Sets
Since rough sets cannot deal with noisy image information, there will be inaccurate classification problems in image classification, and other algorithms must be combined to achieve accurate classification results. Although the neural netwo...
Image Recognition Algorithm Based on Deep Learning
Image Recognition (IR) is one of the important research topics in the field of computer vision and pattern recognition, and it is also an important tool for the realization of an intelligent society in the future. Deep learning is a process...
Image Target Detection Algorithm Based on Computer Vision Technology
With the rapid development of intelligent systems and the advent of the era of big data, the continuous development of computers is being promoted. Exporting and tracking moving targets in video images is one of the most important research ...
Class D Power Amplifier Based on Waveform Predistortion Technology
With the rapid development of wireless communication technology, out of the pursuit of higher spectrum efficiency and higher power efficiency, the linearization technology of class D power amplifiers has become an important research directi...