public ArrayList prueba()
{
int number = 240;
PatternProcessingHelper patternHelper = new PatternProcessingHelper();
ArrayList arr = patternHelper.ArrayListFromNumber(number, 9);
return arr;
// ArrayList arr;
//Parser parser = new Parser();
//List<string> lectura = parser.obtenerLecturaDeArchivo("C:\\Users\\Gonzalo Ricco\\Documents\\GitHub\\llovera\\Datos_LLuviacsv.csv");
}
public long Run(int num1,int num2,int num3, int num4)
{
ArrayList inputs=new ArrayList();
ArrayList inputsBinary= new ArrayList();
ArrayList output=new ArrayList();
PatternProcessingHelper patternHelper=new PatternProcessingHelper();
//Agrego los datos capturados en el form, para luego obtener un array en binario que es el total de inputs
inputs.Add(num1);
inputs.Add(num2);
inputs.Add(num3);
inputs.Add(num4);
//Obtengo el set de datos en binario
inputsBinary = ConversionArrayBinario(inputs);
//Step 2: Run the network and obtain the output
output = network.RunNetwork(inputsBinary);
return patternHelper.NumberFromArraylist(output);
}
protected ArrayList ConversionArrayBinario(ArrayList inputs)
{
ArrayList arrayBinario=new ArrayList();
foreach(int number in inputs){
PatternProcessingHelper patternHelper = new PatternProcessingHelper();
ArrayList arr = patternHelper.ArrayListFromNumber(number, 9);
int i;
for (i = 0; i <= 8; i++)
{
arrayBinario.Add(arr[i]);
}
}
return arrayBinario;
}
//Metodo que recibe un numero correspondiente a un dato y lo carga como input
protected void cargarNumeroComoArrayOutput(int number,ref TrainingData td)
{
PatternProcessingHelper patternHelper = new PatternProcessingHelper();
ArrayList arr = patternHelper.ArrayListFromNumber(number, 9);
int i;
for (i = 0; i <= 8; i++)
{
td.Outputs.Add(arr[i]);
}
}
