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A Novel Framework Using Deep Auto-Encoders Based Linear Model for Data Classification

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This paper proposes a novel data classification framework. combining sparse auto-encoders (SAEs) and a post-processing system consisting of a linear system model relying on Particle Swarm Optimization (PSO) algorithm. All the sensitive and high-level features are extracted by using the first auto-encoder which is wired to the second auto-encoder. followed by a Softmax function layer t... https://www.roneverhart.com/Tzora-Titan-and-Hummer-Battery-Pack-with-Plastic-Casing-2-Batteries/
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