In this paper, we present Taguchi’s and rolling modeling methods of artificial neural network (ANN) for very-short-term electric demand forecasting (VSTEDF) from the consumers’ viewpoint. The rolling model is a metabolism technique that guarantees input data are always the most recent values. In ANN prediction, several factors that may influence the model should be well examined. Taguchi’s meth...

This paper presents results generated with a new evolutionary robotics (ER) simulation environment and its complementary real mobile robot colony research test-bed. Neural controllers producing mobile robot maze searching and exploration behaviors using binary tactile sensors as inputs were evolved in a simulated environment and subsequently transferred to and tested on real robots in a physica...

[1] Rea F, Marulli G, Schiavon M, Zuin A, Hamad AM, Rizzardi G, Perissinotto E, Sartori F. A quarter of a century experience with sleeve lobectomy for non small cell lung cancer. Eur J Cardiothorac Surg 2008;34:488—92. [2] Deslauriers J, Gregoire J, Jacques LF, Piraux M, Guojin L, Lacasse Y. Sleeve lobectomy versus pneumonectomy for lung cancer: a comparative analysis of survival and sites of r...

The performance of job scheduling algorithms in campus-wide PCcluster distributed computing environment may be influenced by several input variables (factors) such as sum of the job sizes of all the jobs in the workload, number of PCs in the cluster and even on the type of scheduling algorithm being used. Response surface methodology (RSM) based statistical regression techniques build empirical...

Combustion optimization has recently demonstrated its potential to reduce NOx emissions in high capacity coal-fired utility boilers. In the present study, support vector regression (SVR), as well as artificial neural networks (ANN), was proposed to model the relationship between NOx emissions and operating parameters of a 300 MW coal-fired utility boiler. The predicted NOx emissions from the SV...