Neural network fitting function

Hi! It could be a trivial question. But being new to Matlab I facing a huge problem. I want to fit my one dimension data (X - Y) (39 points) by using a NN fit and then want to use the fitted function to get the value of Y at different value of X. Now using nn toolbox (nftool) I tried to fit the function. RMS error is negligible small. I generated the matlab function (genfunction). But now I dont know how to use the function to get the value of Y at X= 1.25. Could any one please suggest me to solve the problem. Thanks in advance Tanmoy Roy
function [Y,Xf,Af] = myNeuralNetworkFunction(X,~,~)
%MYNEURALNETWORKFUNCTION neural network simulation function.
% % Generated by Neural Network Toolbox function genFunction, 27-Jun-2017 18:27:50. %
% [Y] = myNeuralNetworkFunction(X,~,~) takes these arguments: %
% X = 1xTS cell, 1 inputs over TS timesteps
% Each X{1,ts} = 39xQ matrix, input #1 at timestep ts. %
% and returns:
% Y = 1xTS cell of 1 outputs over TS timesteps.
% Each Y{1,ts} = 39xQ matrix, output #1 at timestep ts. %
% where Q is number of samples (or series) and TS is the number of timesteps.

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Asked:

on 27 Jun 2017

Edited:

on 27 Jun 2017

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