i have a house holding dataset data include (date, day, time,meter reading, classes). i want to use this data set in neural network for pattern recognition. how can i convert this dataset to be used in naive bayes classifiers and neural networks???

i have a house holding dataset data include (date, day, time,meter reading, classes). i want to use this data set in neural network for pattern recognition. how can i convert this dataset to be used in naive bayes classifiers and neural networks??? Naive bayes doesn't take any data including Alphanumeric, it only support numeric data.Similarly how can i use this dataset for neural network tool for predicting my upcoming value ?? i need to train and test my classifiers.

Answer 1

[Greg Heath]

For neural networks, the input is a matrix of N I-dimensional input vectors:

 [ I N ] = size(input);

The corresponding output target is a matrix of N O-dimensional target vectors:

 [ O N ] = size(target);

Hope this helps.

Thank you for formally accepting my answer

Greg