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Hybrid neural network

Hybrid neural network

A network composed of different neural networks for improved performance and accuracy

Hybrid neural network is a network with a combination of different artificial neural networks and approaches. It utilizes features of varying neural networks and approaches to achieve optimum results.

TreNet is a hybrid neural network used for trend prediction. It is composed of a long short term memory recurrent neural network (LSTM RNN) to capture dependency in historical trends, a convolutional neural network (CNN) to extract local features from local raw data and a feature fusion layer to merge and maximize features drawn from LSTM RNN and CNN.

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Fang Wan, Chaoyang Song

Logical Learning Through a Hybrid Neural Network with Auxiliary Inputs

Academic paper

Li Wan, Leo Zhu and Rob Fergus

A Hybrid Neural Network-Latent Topic Model

Academic paper

Tao Lin, Tian Guo and Karl Aberer

Hybrid Neural Networks for Learning the Trend in Time Series

Academic paper

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