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???

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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.

Accepted Answer

Greg Heath
Greg Heath on 17 Aug 2015
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

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