With the development of multimedia data, there is urgent need of high bandwidth for retrieval process. Selection of extracted features play an important role in retrieval process. Good selection features also save time and enhance the accuracy rate. The main objective of this proposed work is to classify the reusable components using neural network (NN) and genetic algorithm (GA). From result analysis it has been seen that proposed work has provided good results in terms of recall and precision rate.
CITATION STYLE
Garg, R., & Bajwa, J. K. (2017). Content based component retrieval based on neural network (NN) classification method. In Communications in Computer and Information Science (Vol. 721, pp. 577–584). Springer Verlag. https://doi.org/10.1007/978-981-10-5427-3_59
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