Artificial Neural Network code for this dataset?

2018 5 31
1 个回答
回答已采纳
更新时间：2018 6 1
2 次查看（30 天）

 采纳的回答

Majid Farzaneh
Majid Farzaneh 2018-5-31

2 个投票

Hi, you can use something like this:
I=xlsread('forneuralnetworkdataset.xls');
inputs=I(:,1:3)';
targets=I(:,4)';
net=feedforwardnet(10);
net=train(net,inputs,targets);

3 个评论
显示 1更早的评论 隐藏 1更早的评论

Debalina Pal
Debalina Pal 2018-5-31
编辑：Debalina Pal 2018-5-31
Thanks..But how can i test some sample data here? suppose I have temperature data,humidity data and pressure sample data.I want to see its corresponding weather class as per dataset.Then how can i write this code for ann?
Majid Farzaneh
Majid Farzaneh 2018-6-1
You're welcome. You have the trained net. Simply use the net as a function:
out=net([28;89;993])
or
test_data=I(1:10,1:3)';
outs=net(test_data);
Note that the output of a default feed-forward network is not integer. You can use round, ceil, floor or fix function to round the output.
out=round(net([28;89;993]))
Debalina Pal
Debalina Pal 2018-6-1
another question is that: I=xlsread('forneuralnetworkdataset.xlsx'); inputs=I(:,1:3)'; targets=I(:,4)'; net=feedforwardnet(10); net=train(net,inputs,targets); display(net); out=round(net([28;89;993])); display(out); In this above code I want to define a function and I want to pass this inputs as input arguments through this function.

请先登录，再进行评论。

更多回答（0 个）

类别

在 帮助中心 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息

标签

Community Treasure Hunt

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

Start Hunting!

Translated by