train a Neural network with different input output sizes

26 次查看（过去 30 天）
CSCh
CSCh 2024-2-2
编辑： Matt J 2024-2-3
Hi, I would like to train a Neural Network (pattern-recognition) where I have vectors of 500 points (input) each belong to single output value.
The input vectors of 500 points are a timeseries, contains the Info about a sharp peak on a certain posistion which belongs a single Value.
So how to tran a network where I have hundrets of
Inputs (1x500) and outputs (1x1).
Thx,
Chris

请先登录，再回答此问题。

采纳的回答

Matt J
Matt J 2024-2-2
编辑：Matt J 2024-2-3
If it's a sequence-to-one regression then this syntax of trainNetwork would be appropriate,
net = trainNetwork(sequences,responses,layers,options)

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Sequence and Numeric Feature Data Workflows 的更多信息

标签

产品


版本

R2023b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by