Neural Network (Dynamic Time Series) - get dependencies from inputparameter to outputvalue
显示 更早的评论
Dear all,
I am working on a neural network to predict temperature of a room by measuring 7 physical parameters which are the inputs of the network. Is there a good way (best practice) to evaluate the dependencies how much influence has a input parameter to the output value - e.g. if the input parameter will change, how big is the influence on the output value.
The use case would be, if a could remove some input parameter ( do optimization on the amount of inputs ).
Best regards Dieter
回答（1 个）
Greg Heath
2016-6-20
A quick approximate way is to use STEPWISE and/or STEPWISEFIT on a
1. linear model
2. quadratic model
Hope this helps.
Thank you for formally accepting my answer
Greg
类别
在 帮助中心 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息
2016-6-19
2016-6-20
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
