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cs.NE2019
Modified swarm-based metaheuristics enhance Gradient Descent initialization performance: Application for EEG spatial filtering
Mojtaba Moattari, Mohammad Hassan Moradi, Reza Boostani
Gradient Descent (GD) approximators often fail in the solution space with multiple scales of convexities, i.e., in subspace learning and neural network scenarios. To handle that, o…
cs.NE2019
A New Approach for Optimizing Highly Nonlinear Problems Based on the Observer Effect Concept
Mojtaba Moattari, Emad Roshandel, Shima Kamyab +1
A lot of real-world engineering problems represent dynamicity with nests of nonlinearities due to highly complex network of exponential functions or large number of differential eq…