A dynamic fuzzy neural network for short-term load forecasting of the Greek power system is proposed, and an hourly based prediction whole year performed. DBD-FELF (Dynamic Block-Diagonal Fuzzy Electric Load Forecaster) consists rules with consequent parts that are networks internal recurrence. These have a hidden layer, which pairs neurons feedback connections between them. The overall model p...

Higher Education Institutions are required to invent means and tools to meet the increasing demand of students’ enrolment. ELearning is one of these potential means which indicates that the issue of the quality of eLearning models is essential. A developed two-stage, Multi-Input-Single-Output SCeQLM a eLearning quality model has been reviewed. SCeLQM is based on ten Critical Success Factors, CS...

The advanced bilateral control algorithm, which can enlarge a reflected force by combining force reflection and compliance control, greatly enhances workability in teleoperation. In this scheme the maximum boundaries of a compliance controller and a force reflection gain guaranteeing stability and good task performance greatly depend upon characteristics of a slave arm, a master arm, and an env...

Today hybrid computing is a popular framework for solving complex problems. If we have knowledge expressed in rules, we can build an Expert System, and if we have data, or can learn from stimulation (training) then we can use Artificial Neural Networks. In this paper we present the FUzzy NEUrule System (FUNEUS) which is a Neuro Fuzzy approach based on fuzzy Adaline neurons and uses Differential...

Motivated by the research works in adaptive observers, this paper presents a structure for black-box identification based on state-space recurrent neural networks for a class of dynamic nonlinear systems in discrete-time. The proposed network catches the dynamics of the unknown plant by generating state estimates of a network and jointly identifying its parameters using only output measurements...

Our original motivation for the development of the Feature Space Mapping (FSM) system came from cognitive modelling. Mind arises from complex dynamics of the brain. Approximations to this dynamics lead to a set of concepts [1] helpful in description of the mind, such as the “inner space” concept, called also the “conceptual space” or the “mind space”. Among many other aspects mind models should...

A controller that combines the main characteristics and advantages of three different control methodologies is proposed for the control of systems with nonlinearities and uncertainties. A neural network predictive control approach is implemented modifying the output of a controller with a fuzzy logic structure that uses type-2 fuzzy sets. Neural networks are also used to optimize the membership...