numerous studies yet have been carried out on downscaling of the large-scale climate data usingboth dynamical and statistical methods to investigate the hydrological and meteorological impacts of climatechange on different parts of the world. this study was also conducted to investigate the capability of feedforwardneural network with error back-propagation algorithm to downscale the provincial...

This paper presents a novel double node upset (DNU) self-recoverable and single event transient (SET) pulse filterable latch design in 28 nm CMOS technology. The loop structure formed by C-elements (CEs) ensures that the can self-recover from DNUs. A Schmitt trigger at output filter out pulses anywhere circuit. clock-controlled inverter channel connects input to reduces transmission latency. si...

the biologists now face with the masses of high dimensional datasets generated from various high-throughput technologies, which are outputs of complex inter-connected biological networks at different levels driven by a number of hidden regulatory signals. so far, many computational and statistical methods such as pca and ica have been employed for computing low-dimensional or hidden representat...

This paper is devoted to application of neural network with a specific restricted connectivity structure for identification and control of a real process. Parameters of the identified model are used to design a controller based on dynamic feedback linearization. The designed neural network based controller is verified on mathematical model within MATLAB/Simulink environment and applied to the r...

this paper presents an accurate differential global positioning system (dgps) using multi-layered neural networks (nns) based on the back propagation (bp) and imperialistic competition algorithm (ica) in order to predict the dgps corrections for accurate positioning. simulation results allowed us to optimize the nn performance in term of residual mean square error. we compare results obtained b...

H. Haberzettl1,* and K. Nakayama2,3,† 1Institute for Nuclear Studies and Department of Physics, The George Washington University, Washington, DC 20052, USA 2Department of Physics and Astronomy, University of Georgia, Athens, GA 30602, USA 3Institut für Kernphysik and Jülich Center for Hadron Physics, Forschungszentrum Jülich, 52425 Jülich, Germany (Received 8 November 2010; revised manuscript r...

Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. Neural Network (NN) with its inherent learning ability offers promising solutions for handwritten characte...