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Department of Mathematics,
University of California San Diego

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Graduate Students in Probability Seminar

Juntian Wang

UCSD

Time Series Forecasting Using Recurrent Neural Network

Abstract:

In this talk, we will introduce the basic concept of the neural network and discuss one specific type of neural network: Recurrent Neural Network (RNN). We will discuss the backpropagation algorithm and analyze the structure of RNN. Furthermore, we will introduce LSTM neural network. If time permits, an example of time series forecasting by this method will be provided.

November 18, 2019

9:00 AM

AP&M 5829

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