The computational solution of optimal control problems with time lag

By Stuart E. Dreyfus. 1973

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Citations in the corpus

Deep learning in neural networks: An overview (2014, methodology): “Many methods have been proposed for regularizing NNs, that is, searching for solutioncomputing but simple, low-complexity SL NNs (Section 5.6.3) and RL NNs (Section 6.7).”
Are Markets Truly Efficient? Experiments Using Deep Learning Algorithms for Market Movement Prediction (2018, neutral): “The evolution of the backpropagation algorithm covers the past 50 years, through seminal work by [9]; [10]; [11]; [12], the latter being the implementation that is widely used.”
The rise of deep learning in drug discovery. (2018, methodology): “The training of an ANN is done by iterative modiﬁcation of the weight values in the network to optimize the errors between predicted and true value typically through the back-propagation methods [20].”
A Structure-Based Drug Discovery Paradigm (2019, methodology): “By back-propagation methods, the ANN training is done in an iterative fashion to train the network [111].”
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review (2020, background): “ed artiﬁcial neural networks start in the 1940s and gained increasing attention and developments throughout the 1970s and 1980s. Some of the most important concepts, such as automatic differentiation [14], backpropagation [15] [16], max-pooling [17] are proposed during this time. During the 1990s an”
Machine Learning in Finance : The Case of Deep Learning for Option Pricing (2017, methodology): “To find these, taking numerical gradients for optimization is computationally infeasible, and luckily, we are able to do so analytically with linear computation, using the backpropagation algorithm (Kelley (1960); Bryson (1961); Dreyfus (1973); Rumelhart et al. (1986)).”
My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013 (2013, background): “Compare the concept of ordered derivative [89] and related work [28], with NN-speciﬁc discussion [89] (section 5.5.1), and the ﬁrst NN-speciﬁc efﬁcient BP of 1981 by Werbos [90, 92].”