A document image classification system fusing deep and machine learning models

Machine Vision Prediction Model for Product Color Design by Kansei Engineering

“…Some people believe that neural network model can effectively process nonlinear and non-stationary data by simulating the connection of human brain neurons, so as to realize the recognition and prediction of complex color patterns [1][2]. In addition, it has been proposed that deep learning models have also been widely used in color prediction, such as convolutional neural network model and recurrent neural network model [3][4]. In addition to neural network models and deep learning models, there are several other models used for color prediction.…”

Self Adaptive Methods for Learning Rate Parameter of Q-Learning Algorithm

“…Machine learning methods can produce the most appropriate results in the face of new situations by analysing the sensors on the system or the data sources given to it before (Grefenstette n.d.). Especially in recent years, the development of computer, software and information systems along with technology has enabled artificial intelligence and machine learning to be widely used in fields such as economy (Jogunola et al 2020;Meng and Journal of Intelligent Systems: Theory and Applications 6(2) (2023) 191-198 192 Khushi 2019; Sarızeybek and Sevli 2022), medicine (Bayraj et al 2022;Cimen et al 2021;Pala et al 2019Pala et al , 2021Pala et al , 2022, biology, chemistry, informatics (Ekinci 2022;Omurca et al 2022;Toğaçar, Eşidir, and Ergen 2021) and engineering (Akyurek and Bucak 2012;Bucak and Zohdy 1999;Chen et al 2022;Çimen et al 2019;Singh, Kumar, and Singh 2022). Machine learning methods can generally be grouped as Supervised Learning, Unsupervised Learning and reinforcement learning.…”