peripheral nerve injuries (pni) can lead to lifetime loss of function and disfigurement. different methods such as conventional allograft procedures and using of biological tubes have problems for damaged peripheral nerves reconstruction. designed scaffolds with natural and synthetic materials are now widely used in the reconstruction of damaged tissues. utilization of absorbable and non-absorb...

in this paper, a recurrent fuzzy-neural network (rfnn) controller with neural network identifier in direct control model is designed to control the speed and exhaust temperature of the gas turbine in a combined cycle power plant. since the turbine operation in combined cycle unit is considered, speed and exhaust temperature of the gas turbine should be simultaneously controlled by fuel command ...

this research studies the application of hybrid algorithms for predicting the prices of crude oil. brent crude oil price data and hybrid intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predicting crude oil prices. the proposed model was able to predict future crude oil prices from august...

Traumatic Brain Injury (TBI) in all degrees of injury severity mainly induces deviant cognitive, emotional and behavioral alterations that lead to their respective disorders. This brief overview strives to define the variables that determine the risk of occurrence of these disorders and to describe the common patterns of these disorders and their relevant neuropathogenetic mechanism(s). In addi...

an artificial neural network (ann) model is developed for the analysis, simulation, and prediction of the austenite reversion in the thermo-mechanical treatment of 304l austenitic stainless steel. the results of the ann model are in good agreement with the experimental data. the model is used to predict an appropriate annealing condition for austenite reversion through the martensite to austeni...

In this paper, a recurrent fuzzy-neural network (RFNN) controller with neural network identifier in direct control model is designed to control the speed and exhaust temperature of the gas turbine in a combined cycle power plant. Since the turbine operation in combined cycle unit is considered, speed and exhaust temperature of the gas turbine should be simultaneously controlled by fuel command ...