Global ETD Search
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Showing 1 to 4 of 4 for “"Multi-Layer Perceptron Network"”.
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Investigation of a multi-layer perceptron network to model and control a non-linear system.
… predictive controller incorporating a neural network model of a non-linear process. The scheme is based on a Multi-Layer Perceptron neural net-work as a modelling tool for a real non-linear, dual tank, liquid level process. A neural network process model is developed and evaluated firstly in …
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Spiking neural networks and their applications
<p>"Artificial neural networks (ANNs) have been developed as adaptable, robust function approximators for at least the last quarter-century. They have progressed through two generations, and the third is now under development. Spiking neural networks (SNNs) seek to improve on previous generations …
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Quantification of Elastic Incompatibilities at Triple Junctions via Physics-Based Surrogate Models
… elastic incompatibilities between the grains. A multi-layer perceptron network was trained using the grain rotation angles and 𝐽 integrals as the feature and label data respectively. We demonstrate that the trained network establishes an accurate functional dependence between the triple junction …
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Image recognition, semantic segmentation and photo adjustment using deep neural networks
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-05-01