Kumaon Himalaya, India. An attempt is made to predict landslide susceptibility using back-propagation neural network (BPNN … information layer. Database of this information layer is used to train, test, and validate the BPNN model. A three-layered BPNN …

integrated moving average model (ARIMA), and the back propagation neural network (BPNN) can be used to make forecasts based on … time series. In this paper, a hybrid approach combining ESM, ARIMA, and BPNN is proposed to be the most advantageous of all … models, including ESM, ARIMA, BPNN, the equal weight hybrid model (EWH), and the random walk model (RWM). …

propose a motion control strategy based on central pattern generator (CPG) and back-propagation neural network (BPNN). Design …. Genetic algorithm and particle swarm optimization are used to optimize the initial weights and thresholds of BPNN to obtain …

: latent class clustering (LCC), k-modes clustering and BIRCH clustering, on road accident data from an Indian district …

young birch forests. The main finding, which is robust to several sensitivity analyses, is that after the tree planting …

-bellied Sapsuckers (Sphyrapicus varius varius). Previous studies suggest that sapsuckers preferentially select larger birch trees (>20 cm … dbh) as feeding trees. I tested whether large birch trees were being selected as feeding trees through sapwell frequency … measures. I also collected birch phloem sap samples from 11 different trees to find if variability existed between different …

(Picea abies), pine (Pinus sylvestris), downy birch (Betula pubescens) and black alder (Alnus glutinosa) grow on these soils … stability are too severely affected. However, according to literature downy birch can be used on rewetted fens, but will rather …

first layer of the AIRM architecture uses balanced iterative reducing and clustering using hierarchies (BIRCH) as a …