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new implementation of FF Network

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Shin
2014-11-04 22:25:11 +01:00
parent 0238312a5b
commit 75ca9bc21f
23 changed files with 370 additions and 104 deletions
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43
tests/nn-02.cpp
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@@ -1,5 +1,6 @@
#include "../src/NeuronNetwork/Network"
#include "../src/NeuronNetwork/FeedForward"
#include "../src/NeuronNetwork/FeedForwardQuick.h"
#include <iostream>
@@ -14,20 +15,34 @@ class X: public Shin::NeuronNetwork::Problem
int main()
{
Shin::NeuronNetwork::FeedForwardNetwork n(2,4,2);
Shin::NeuronNetwork::FeedForwardNetwork n({2,4,2});
Shin::NeuronNetwork::FeedForwardNetworkQuick nq({2,4,2});
if(n[1]->size() != 4)
{
std::cout << "ACtual size:" << n[0]->size();
std::cout << "Actual size:" << n[0]->size();
return 1;
}
if(nq[1]->size() != 4)
{
std::cout << "QUICK Actual size:" << nq[0]->size();
return 1;
}
n[2]->operator[](0)->setPotential(25);
nq[2]->operator[](0)->setPotential(25);
std::cout << "Potential: " << n[2]->operator[](0)->getPotential() << "\n";
std::cout << "Potential: " << nq[2]->operator[](0)->getPotential() << "\n";
Shin::NeuronNetwork::Solution s =n.solve(X());
Shin::NeuronNetwork::Solution sq =nq.solve(X());
if(s.size()!=2)
{
std::cout << "1";
return 1;
}
if(s[0]!=0)
{
std::cout << "2";
@@ -39,8 +54,20 @@ int main()
return 1;
}
for(int i=0;i<2;i++)
{
if(s[i]!=sq[i])
{
std::cout << " 4 - " << i << " expected "<<s[i] << " was " <<sq[i];
return 1;
}
}
n[2]->operator[](0)->setWeight(0,26.0);
nq[2]->operator[](0)->setWeight(0,26.0);
s =n.solve(X());
sq =n.solve(X());
if(s.size()!=2)
{
std::cout << "a1";
@@ -56,5 +83,15 @@ int main()
std::cout << "a3";
return 1;
}
for(int i=0;i<2;i++)
{
if(s[i]!=sq[i])
{
std::cout << " a4 - " << i << " expected "<<s[i] << " was " <<sq[i];
return 1;
}
}
return 0;
}