50 lines
993 B
C++
50 lines
993 B
C++
/**
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* Show how to use a network already trained and saved to a
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* binary file. In this case, a network trained to simply perform sums between two real
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* numbers, that should have already been created using learnAdd.
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*
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* by BlackLight, 2009
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*/
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#include <iostream>
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#include <neural++.hpp>
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using namespace std;
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using namespace neuralpp;
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#define NETFILE "network.xml"
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int main() {
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double a,b;
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NeuralNet net;
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// Load the pre-trained network from "adder.net" file
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try {
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net = NeuralNet(NETFILE);
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}
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catch (NetworkFileNotFoundException e) {
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cerr << "Fatal error while opening " << NETFILE << ": " << e.what();
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return 1;
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}
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cout << "First number to add: ";
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cin >> a;
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cout << "Second number to add: ";
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cin >> b;
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vector<double> v;
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v.push_back(a);
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v.push_back(b);
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// Set the numbers just read as input values, propagate those values, and get
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// the output
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net.setInput(v);
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net.propagate();
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cout << "Neural net output: " << net.getOutput() << endl;
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return 0;
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}
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