radial basis function. the preferred TFL method of forecasting data. Pioneered by TFL principals in their application to neural computing, RBFs are a specialized neural computing technique. Contrary to multi-layer perceptrons (MLP) they are particularly well suited to forecasting relatively stable times series such as property indices. Outperforms MLP in speed and stability when used with Bayesian Analysis.