//
//Neuro Model command
//

//Syntax
neuro inputs by outputs;

//
//Options
//
limit:100000 //limit of loop (default=100000);
err:1        //convergent condition (default=0);
mid:5        //num of middle node except input and bias node. (default=レコード数÷2)
step:3       //num of layer (default=3)

//
//Example 1
// 
//Execution for Sin curve with noize.
hand x y/
0	 0.349486
0.111111 0.830839
0.222222 1.007332
0.333333 0.971507
0.444444 0.133066
0.555556 0.1666823
0.666667 -0.848307
0.777778 -0.445686
0.888889 -0.563567
1	 0.261502
;

//View sin curve with noize.
plot scan x y;




//Execution neuro command for y by x;
neuro y by x;


View output by output bottom

process of convergency by loop count



xxx_neuro is output of xxx by neuro command.


//View output of neuro analysis.
get freq@ana;

plot scat x y;
over line y_nuero by x;




//
//Example 2 
//
//This Example predicts win rate by 4 plays result. 
//
hand  play1  play2  play3 play4 win  defeat/ 
1 1 0 0	0.9 0.1
1 0 1 0	0.4 0.6
1 0 0 1	0.7 0.3
0 1 1 0	0.4 0.6
0 1 0 1	0.4 0.6
0 0 1 1	0.2 0.8
;
//Execute neuro command for prediction win rate by win of defeat of players.
neuro win defeate by play1 - 4;



get freq@ana;

//Plot compare fact win rate with predicted win rate.
plot bar win win_calc;