Tag Archives: C.Lee Giles – Noisy Time Series Prediction Using a Recurrent Neural Network & Grammatical Inference

C.Lee Giles – Noisy Time Series Prediction Using a Recurrent Neural Network & Grammatical Inference Financial forecasting is an example of a signal processing problem which is challenging due to small sample sizes, high noise, non-stationarity, and non-linearity. Neural networks have been very successful in a number of signal processing applications. We discuss fundamental limitations […]