ANFIS application to competition on artificial time series (CATS)

This work presents an application of an adaptive neural fuzzy inference system (ANFIS) to forecasting an artificial time series. Forecasting is an excellent use for intelligent technologies, but too often forecasts are difficult to compare. This paper was written as attempt to set a benchmark system for future comparison. Although, the system presented in this paper did not respond well to the training data, this paper suggests possible solutions.