Which function to use for my neural network?
显示 更早的评论
Not sure which one of these functions best applies to my neural network model:
feedforwardnet, fitnet, cascadeforwardnet, newff
Not sure when each of the above functions should be applied
the network has 11 input parameters and attempts to predict one output. the 11 inputs each represent different chemical properties for different MOF's.
采纳的回答
Hello Emer,
As per my understanding, you need to know which of, “feedforwardnet”, “fitnet”, "cascadeforwardnet", and “newff’ functions, can be used to create a neural network with eleven inputs and one output.
The choice of the appropriate neural network function in MATLAB depends on the complexity of the problem.
You can use “feedforwardnet” or “fitnet” to create your neural network.
Both functions are used for creating and training neural networks. However, "fitnet” is used for specialized versions of the feedforward network including fitting.
Please refer the following links to know more about “feedforwardnet”, “fitnet”, and difference between the two functions.
- feedforwardnet: https://www.mathworks.com/help/deeplearning/ref/feedforwardnet.html
- finet: https://www.mathworks.com/help/deeplearning/ref/fitnet.html
- Difference between “feedforwardnet” and “fitnet”: https://www.mathworks.com/matlabcentral/answers/35772-what-is-the-difference-between-feedforwardnet-with-fitnet
I hope this helps answer your query.
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
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
