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The paper presents a low complexity recurrent Functional link Artificial Neural Network for predicting the time series data like the stock market indices over a time frame varying from one day ahead to one month ahead. Further an adaptive bioinspired Firefly algorithm is adopted here to find the optimal weights for the recurrent computationally efficient functional link neural network (RCEFLANN) using...
Forecasting stock price index is one of the major challenges in the trade market for investors. Time series data for prediction are difficult to manipulate, but can be focused as segments to discover interesting patterns. In this paper we use several functional link artificial neural networks to get such patterns for predicting stock indices. The novel architecture of functional link artificial neural...
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