in this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the shabestar plain, iran. after initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (ga-bp) should be able to reproduce groundwater ...

With the improvement in integration of solar power generation, photovoltaic (PV) forecasting plays a significant role ensuring operation security and stability grids. At present, widely used backpropagation (BP) improved BP neural network algorithm short-term output prediction PV stations own drawbacks neglection meteorological factors weather conditions inputs. Meanwhile, existing traditional ...

BP neural network as a kind of intelligent method is widely used in fault diagnosis, due to the single BP neural network’s error is big, GA algorithm is often used in optimizing BP neural network, but the standard GA algorithm’s searching efficiency is low and it is easy to fall into local convergence. According to the characters of Accord car ignition diagnosis and BP neural network, this arti...

BACKGROUND Survivors of preterm birth constitute a new generation of young adults, but little is known about their long-term health. We investigated the association between gestational age (GA) and risk of high blood pressure (HBP) in young Swedish men and whether GA modified the risk of HBP; ie, whether HBP was related to being born small for gestational age (SGA). METHODS AND RESULTS This p...

To mine users’ perceptual demand for product shape, it is very important to build the relational model between design elements of product shape and users’ Kansei evaluation. We apply Kansei engineering to the shape design of wheeled tractor. The design elements obtained by morphological analysis constitute the input layer, and perceptual semantic evaluation obtained by semantic differential met...

Evaluating the regional trends of air pollution disaster risk in areas heavy industry and economically developed cities is vital for sustainable development. Until now, previous studies have mainly adopted a traditional weighted comprehensive evaluation method to analyze risk. This research has integrated principal component analysis (PCA), genetic algorithm (GA) backpropagation (BP) neural net...

Ligands with geminal bis(phosphonic acid) appended to 1,4,7-triazacyclonone-1,4-diacetic acid fragment through acetamide (NOTAM(BP) ) or methylenephosphinate (NO2AP(BP) ) spacers designed for (68) Ga were prepared. Ga(III) complexation is much faster for ligand with methylenephosphinate spacer than that with acetamide one, in both chemical (high reactant concentrations) and radiolabeling studie...

In this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the Shabestar Plain, Iran. After initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (GA-BP) should be able to reproduce groundwater ...