Fuzzy Method and Artificial Neural Network

This course is divided into two parts, Fuzzy Logic, and Artificial Neural Networks. The section on fuzzy logic provides the basic concepts of fuzzy theory and its applications. After knowing the basic concept of Fuzzy, it can be used to make decision-making applications based on fuzzy logic. Lectures are carried out by providing material starting from fuzzy sets, membership functions, fuzzy operators, implications functions, fuzzy inference, expert systems, and fuzzy applications. The artificial neural network section, focuses on the basic concepts of artificial neural networks and their applications, after knowing the basic concepts of artificial neural networks, it can be used to create applications based on artificial neural networks. Lectures are carried out by providing material ranging from Neural Network Components, Network Architecture and Activation Functions, Learning Processes, Perceptrons,Reverse Propagation Neural Networks, and Radial Basis Function Networks.