Titlebook: Biologically Inspired Techniques in Many-Criteria Decision Making; International Confer Satchidananda Dehuri,Bhabani Shankar Prasad Mishra

陳腐的人

Classification of Real Time Noisy Fingerprint Images Using Flannank. The results prove that this method is robust enough to classify the fingerprints with a good accuracy. Here we have used Biogeography based optimized Functional Link Artificial Neural Networks (BBO-FLANN) for the task of classification of noisy distorted fingerprint images.

Formidable

A Systematic Frame Work Using Machine Learning Approaches in Supply Chain Forecastingt and reduce errors marginally. The purpose of such a systematic approach using the proposed architecture is to reduce inventory holdings which shall largely account for important decision-making policies in the future.

cylinder

Maria Saburova,Archil Maysuradzezation and non-dominated sorting genetic algorithm II. A multi-objective ranking and selection strategy improve the convergence rate. Our empirical analysis on many real-life networks confers the effectiveness of the algorithm in terms of both influence spread and time efficiency.