Problem 58887. Neural Net: Best Index of Prediction array
The final ouput of a neural net application is a Prediction matrix/vector,P, that gives the probability of the input being of a set of N classes represented by the columns.
For the XOR function the input matrix is [0 0;0 1;1 0;1 1] with an expected output vector of [0;1;1;0]. Ouput of Zero would be represented by a higher likelihood in column 1 than column 2 of the Prediction matrix.
Given a P matrix [m,n] where there are m cases and n possible outcomes return peak value for each case and the index of the most likely outcome.
[case_peak,case_idx]=Prediction(P)
if P was [0.1 0.5 0.9;0.2 0.8 0.4] (2 cases with 3 possible outcomes 1:3) return case_peak=[0.9;0.8] and case_idx=[3;2]
Solution Stats
Solution Comments
Show commentsProblem Recent Solvers10
Suggested Problems
-
6123 Solvers
-
6660 Solvers
-
546 Solvers
-
Removing rows from a matrix is easy - but what about inserting rows?
214 Solvers
-
Unique values without using UNIQUE function
352 Solvers
More from this Author308
Problem Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!