Failed to using syntax 'genFunction' to simulate

1 次查看(过去 30 天)
  • I have trained a ANN, then using 'genFunction' to create a function file.m named 'netFcn'. However, I have not yet understood about syntax of function: netFcn(X,~,~).
  • For example: input = [-0.993243243243243;-1] ; target = [-0.148851286284220]
  • the result ANN trained from this input is: output = [-0.138566963076372]
  • while using syntax : netFcn(-0.993243243243243,-1) = -0.131790888633589Why it is different with the output of ANN ? How to use a syntax netFcn(X,~,~) to predict correctly?

采纳的回答

Walter Roberson
Walter Roberson 2016-4-11
The syntax
function result = netFcn(X,~,~)
means that netFcn expects three inputs to be passed in, but that it is going to ignore the second and third inputs.
The syntax
netFcn(-0.993243243243243,-1)
passes in the scalar -0.993243243243243 as the argument X to netFcn, and passes the scalar -1 as an additional parameter that netFcn is going to ignore. This is not the same as
input = [-0.993243243243243;-1]
for your training, because that input is a vector of two values, not a scalar. The equivalent would be
netFcn([-0.993243243243243;-1])

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Statistics and Machine 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