A denoising unit based on wavelet multiresolution analysis is added ahead of the multilayered perceptron with global recurrent connections. The learning algorithm is developed which uses the same cost function for setting all free parameters, those of the denoising unit and those of the neural network. It is illustrated that the proposed model outmatches the models without denoising unit and/or...

Aiming at the shortage of conventional BP algorithm, a BP neural net works improved by L-M algorithm is put forward. On the basis of the network, a Prediction model for 305 day’s milk productions was set up. Traditional methods finish these data must spend at least 305 days, But this model can forecast first-breed dairy’s 305 days milk production ahead of 215 days. The validity of the improved ...

Published Ahead of Print 17 December 2008. 10.1128/JCM.01753-08. 2009, 47(2):385. DOI: J. Clin. Microbiol. Masashi Mizokami Fuminaka Sugauchi, Shunsuke Nojiri, Takashi Joh and Tomoyoshi Ohno, Hiroshi Tokuda, Fuat Kurbanov, Kentaro Matsuura, Yasuhito Tanaka, Izumi Hasegawa, Chronic Hepatitis C Patients Pegylated Interferon and Ribavirin in Sustained Virological Response to TaqMan HCV Assays for ...

An alternative approach, between much others, for mathematical representation of dynamics systems with complex or chaotic behaviour, is a radial basis function neural network using k-means for clustering and optimized by pseudo-inverse and particle swarm optimisation. This paper presents the implementation and study to identify a dynamic system, with nonlinear and chaotic behaviour, called Röss...

MicroRNAs (miRNAs) are tiny genetic rheostats in plants, animals, and viruses, regulating the expression of messenger RNAs by targeting transcripts for cleavage or translational repression. Their regulatory impact is even more pervasive as a potential therapeutic tool. Since inception, computational methods have been an invaluable tool complementing experimental approaches. Here, we outline miR...

A simple recurrent neural network is trained on a one-step look ahead prediction task for symbol sequences of the context-sensitive abc language. Using an evolutionary hill climbing strategy for incremental learning the network learns to predict sequences of strings up to depth n = 12. Experiments and the algorithms used are described. The activation of the hidden units of the trained network i...

4 Queen Elizabeth Hospital, Hong Kong, China 16 *Corresponding author, Department of Microbiology, Faculty of Medicine, The Chinese 17 University of Hong Kong, Prince of Wales Hospital, Shatin, NT, Hong Kong SAR. Email: 18 [email protected] Tel: +852 26321265, Fax: +852 26473227 19 20 Running title: Detection and prediction of pneumococcal serogroups 21 22 JCM Accepts, published online ahe...

Abstract: Forecasting the future evolution of a system based only on past information comprises a central scientific problem. In this work we investigate the comparative performance of recurrent multi–layer perceptrons, trained through backpropagation through time and the differential evolution algorithm, to perform one–step–ahead predictions for the laser time series (Data set A) from the Sant...

This paper presents an initial validation of a solar radiation service that provides historical, as well as up-to-the-moment solar resource data from satellites, short-term forecasts from cloud motion analysis, and medium term forecasts (up to seven days ahead) from numerical weather prediction models [1]. Forecasts are validated for several, climatically distinct regions of the US, investigati...

This work uses Machine Learning techniques and other classical approaches to analyze both physiological variables and treatment characteristics in patients undergoing chronic renal failure. Firstly, the use of Self-Organizing Maps is proposed in order to extract qualitative knowledge. Secondly, the Hemoglobin concentration is predicted one-month ahead by models based on the Multilayer Perceptro...