years (2008-2012). Furthermore the Artificial Neural Networks (ANNs) was used for the prediction of water flow in two sub … the Mean Absolute Percentages Error (MAPE) were also calculated in order to evaluate the quality of the ANNs results. …

(ANNs), and the contamination of the outputs of the DEA analysis with statistical noise. Statistical noise represents the … definition of efficiency, and addresses the dimensionality issues of ANNs with minimum sample size requirements. …

Standard and Poor’s from 2000 – 2006 using ANNs and OR and qualitative analysis of factors considered necessary to obtain a …However, ANNs do offer promising predictive results and can be used to facilitate implementation of survey-based CMBS …

several cases, GA falters or fails while RPS succeeds. In case of N#1 through N#5 and the ANNs XOR functions the RPS performs …

In this work, we propose the use of Artificial Neural Networks (ANNs), with theobjective of predicting the volatility … of peseta exchange rate. Firstly, we perform anexhaustive analysis of the forecasting ability of ANNs by comparing them …