Abstract This paper presents implementation of the adaptive neuro-fuzzy control method. Control performance of the adaptive neuro-fuzzy control method for a popular inverted pendulum system is evaluated. The inverted pendulum system is designed and built as an education kit for educational purpose for engineering students. The educational kit is specially used for intelligent control education....

In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e. (PSO-ANFIS) are proposed for modeling and prediction of the propylene/propane adsorption under various conditions. Using these computational intelligence (CI) approaches, the input parameters such as adsorbent shape (S<su...

Short term prediction of traffic flow is one of the most essential elements of all proactive traffic control systems. Although various methodologies have been applied to forecast traffic parameters, several researchers have showed that compared with the individual methods, hybrid methods provide more accurate results . These results made the hybrid tools and approaches a more common method for ...

We describe a case of neuro-Behçet disease diagnosed in a 12-year-old girl. This patient presented with recurrent oral ulcers, incontinence, spastic gait, blurry vision, and asymmetrical lower extremity hypertonia. Extensive testing revealed punctate lesions through the central nervous system, vitritis, papillitis, and uveitis. A thorough infectious and neoplastic workup was negative. She was t...

Behcet's disease (BD) is characterized by recurrent oral and genital ulcers and uveitis. It is also known to affect various organs; however, central nervous system involvement is rare and may cause parenchymal or vascular lesions with distinct clinical syndromes. Various viral encephalitides are important differential diagnoses. MRI may aid the correct diagnosis. This case report describes a pa...

We formulate the call admission control problem for a single link in an integrated service environment as a Markov Decision Problem. In principle , an optimal admission control policy can be computed using methods of Dynamic Programming. However, as the number of possible states of the underlying Markov Chain grows exponentially in the number of customer classes, Dynamic Programming algorithms ...

This paper presents an adaptive neuro-fuzzy controller ANFIS (Adaptive Neuro-Fuzzy Inference System) for a bilateral teleoperation system based on FPGA (Field Programmable Gate Array). The proposed controller combines the learning capabilities of neural networks with the inference capabilities of fuzzy logic, to adapt with dynamic variations in master and slave robots and to guarantee good prac...

Very little work in psychology has tried to simultaneously tackle the representational problem and the search problem in creative problem solving. Unifying these two fields is critical, because building and searching the problem space may be highly interactive activities that cannot be decoupled and studied in isolation. In addition. neuroscientific explanations of creative problem solving have...