Neural Networks in Finance: Gaining Predictive Edge in the Markets (a review)

By Mark S. Rzepczynski. 2007

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Autoregressive Convolutional Neural Networks for Asynchronous Time Series (2017, background): “Literature on deep learning for financial time series forecasting is even scarcer though interest in using neural networks for financial predictions is not new (Mozer, 1993; McNelis, 2005).”
Investigation of financial market prediction by recurrent neural network (2011, background): “Opposite to statistical analysis there could be sophisticated reinforcement learning agents [6] or neural networks [2-4].”
Unsupervised Learning Trojan (2014, background): “Among the applications of machine learning are financial applications (Krollner et al., 2010; McNelis, 2005), medical applications (Kononenko, 2001), and intrusion detection (Tsai et al., 2009; Sabhnani & Serpen, 2003a), among many others.”
FPGA-Based Accelerators of Deep Learning Networks for Learning and Classification: A Review (2019, background): “image classification [27]–[32], face detection and recognition [33], [34], robot navigation [35]–[37], real-time multiple object tracking [38], financial forecasting [39], and medical diagnosis systems [40]–[42], to name a few.”