(Бургаски свободен университет, 2018) Георгиева, Пенка; Попчев, Иван
This paper examines the concepts for designing and building a system that integrates the potential of fuzzy modeling with the capabilities of genetic algorithms in the process of finding optimal solutions. The rule-based genetic fuzzy system is a hybrid system that aims at optimizing the weight of the rules in the knowledge base of FSSAM. Some results from the optimization process are shown as an illustration of the system’s capabilities.
(Бургаски свободен университет, 2018) Иванов, Александър; Георгиева, Пенка
This paper studies convolutional neural networks as a widely used tool for image recognition. Another area of applications of the convolutional neural networks is the process of classification. Test results with a new type of activation function in a convolutional neural network are presented in the paper.
