Support Vector Machines (SVMs) have been successfully applied to solve a large number of
classification and regression problems. However, SVMs suffer from the catastrophic
forgetting phenomenon, which results in loss of previously learned information. Learn (++)
have recently been introduced as an incremental learning algorithm. The strength of Learn
(++) lies in its ability to learn new data without forgetting previously acquired knowledge and
without requiring access to any of the previously seen data, even when the new data …

This paper proposes a new controller based on neural network and fuzzy logic technologies
for load frequency control to allow for the incorporation of both heuristics and deep
knowledge to exploit the best characteristics of each. A" Dynamical Fuzzy Network (DFN)"
that contains dynamical elements such as delayers or integrators in their processing units is
used in the adaptive controller design for load frequency control. A DFN is connected
between the two area power systems. The input signals of the DFN are the ACEs and their …