Raff
Newbie level 4
Hello. I have constructed a neural network by using Matlab software. I got a data from 2 sensors which is ultrasonic sensor and distance sensor. These two sensor will give an ouput voltage for distance measurement. So i want to evaluate the sensor performance by using neural network. The algorithm that i use is LM algorithm. As i know, 80% of input data is for training and the other 20% is for testing.
By using NN i want to evaluate an error between sensor value and real value/measured value. For example, sensor value is 50cm but the estimate value is 48cm. How to evaluate this error to check the performance of the sensor?
1. Should i take all the sensor value to input data and the output/target data is real value/measured value or
2. 80% sensor value to input data and the other 20% for output?
Thanks.
By using NN i want to evaluate an error between sensor value and real value/measured value. For example, sensor value is 50cm but the estimate value is 48cm. How to evaluate this error to check the performance of the sensor?
1. Should i take all the sensor value to input data and the output/target data is real value/measured value or
2. 80% sensor value to input data and the other 20% for output?
Thanks.