Indian Journal of Innovations and Developments

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Machine Learning Based Pattern Recognition for Chemical Spectral Data


Affiliations
1 Head Dept. of Mathematics, Pachaiyappa's College, E.V.R.Periyar High Road, Shenoy Nagar, Chennai-600 030, India
 

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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Abstract Views: 357

PDF Views: 65




  • Machine Learning Based Pattern Recognition for Chemical Spectral Data

Abstract Views: 357  |  PDF Views: 65

Authors

C. Dharuman
Head Dept. of Mathematics, Pachaiyappa's College, E.V.R.Periyar High Road, Shenoy Nagar, Chennai-600 030, India

Abstract


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

References