ANALYSIS OF BIG DATA WITH NEURAL NETWORK

Neural network consists of dendrites and neurons. Neural network method has proven to be very useful technique for statistical analysis of a leaned big data set. Neural network are mathematical model inspired by biological neurons. This paper proposes such kind of structure, where the inputs will be learned data sets. These data sets will be analyzed on certain defined parameters and we will get the output. These outputs will be in two forms, trusted or not to be trusted. We can work on a data set that can be taken from an excel file, Weka or OpenOffice. This data set can train neural network using MATLAB tool box. We also have evaluation data set which will evaluate whether the network is trained or not. We have some predicted output. If the desired output matches with the predicted output, the training is successfully completed.