//initialize weights
    for (int i = 0; i < n; i++) {
        weights[i] = r.nextDouble();
    }


    for (int i = 0; i < maxIterations; i++) {
        int totalError = 0;
        for (int j = 0; j < outputs.length; j++) {    // = ~5.000-10.000
            //classifiy object
            int output = classifyInt(inputs[j], false);
            //calculate error
            int error = output - outputs[j];
            //sum of errors
            totalError += error;

            for (int k = 0; k < n; k++) { //n = 4
                //weight is unchanged if there is no error, else change it
                weights[k] += inputs[j][k] * lrate * error;
            }

        }
        i++;

        //done if there are no errors
        if (totalError == 0) {
            Log.i(LOG_TAG, String.valueOf(i));
            Log.i(LOG_TAG, "classifying completed with no errors");
            break;
        }
    }

private int classifyInt(double[] input, boolean b) {
    double sum = 0.0;
    for (int i = 0; i < input.length; i++) {
        sum += weights[i] * input[i];
    }
    //(just for debugging)
    if (b) {
        System.out.println(sum);
    }
    if (sum > threshold)
        return 1;
    else
        return 0;
}