Indian Journal of Innovations and Developments

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The most common use for neural networks is to project what will most likely happen. There are many applications where prediction can help in setting priorities. Know who needs the most time critical help can enable a more successful operation. Basically, all organizations must establish priorities which govern the allocation of their resources. This projection of the future is what drove the creation of networks of prediction. In our study, we was examined the machine learning based pattern recognition for chemical spectral data.

Keywords

Machine Learning, Pattern Recognition, Chemical-spectral Data, Intelligent Information System, Q-learning, Artificial Neural Network
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