This chapter discusses the application of pattern recognition technology to enhance the profitability of industrial operations.
This paper examines the application of pattern recognition techniques to the area of machine component recognition.
The application of pattern recognition-based approaches in damage localisation and quantification will eventually require the use of some kind of supervised learning algorithm.
The application of pattern recognition could increase the efficiency of the method in terms of providing additional information about an object placed on the rails, the physical obstacle between the camera and the rails.
This paper explores the application of pattern recognition and artificial intelligence techniques in the characterization of a multiphase realistic disordered composite and in the design of a multiple regression model to estimate effective thermal conductivity.
So, in this paper, the combination of KPCA and SVMs with this method combines the advantages of KPCA component analysis and SVMs in the application of pattern recognition, so the practical application can be better than the performance of the two methods alone.
