Invention Application
- Patent Title: LONG-TERM FORECASTING USING MULTI-LAYER PERCEPTRON NEURAL NETWORKS
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Application No.: US18671875Application Date: 2024-05-22
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Publication No.: US20240394513A1Publication Date: 2024-11-28
- Inventor: Rajat Sen , Shaan Karan Mathur , Abhimanyu Das , Weihao Kong , Qi Yu , Andrew Bradford Leach
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Main IPC: G06N3/0455
- IPC: G06N3/0455

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing long-term forecasting using multi-layer perceptron neural networks. One of the methods includes obtaining time series data; and processing the time series data to generate a respective predicted time series value for each of a plurality of future time points in a horizon sequence, comprising: processing the time series data using an encoder multi-layer perceptron (MLP) neural network to generate an encoded representation of the time series data; and processing at least the encoded representation of the time series data using a decoder MLP neural network to generate a respective predicted time series value for each of the plurality of future time points.
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