Artificial Neural Network Classification of High Dimensional Data with Novel Optimization Approach of Dimension Reduction

Author:

Aziz RabiaORCID,Verma C. K.,Srivastava Namita

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Statistics, Probability and Uncertainty,Computer Science Applications,Business, Management and Accounting (miscellaneous)

Reference51 articles.

1. Xu Y, Selaru FM, Yin J, Zou TT, Shustova V, Mori Y, Sato F, Liu TC, Olaru A, Wang S (2002) Artificial neural networks and gene filtering distinguish between global gene expression profiles of Barrett’s esophagus and esophageal cancer. Cancer Res 62(12):3493–3497

2. Ng RT, Pei J (2007) Introduction to the special issue on data mining for health informatics. ACM SIGKDD Explor Newsl 9(1):1–2

3. Aziz R, Verma C, Srivastava N (2017) Dimension reduction methods for microarray data: a review. AIMS Bioeng 4:179–197

4. Shang C, Shen Q (2005) Aiding classification of gene expression data with feature selection: a comparative study. Int J Comput Intell Res 1(1):68–76

5. Aziz R, Verma C, Srivastava N (2015) A weighted-SNR feature selection from independent component subspace for NB classification of microarray data. Int J Adv Biotechnol Res 6(2):245–255

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