38 citations · 64 across the 4 of their papers we have counts for
4 papers
Training a Feed-forward Neural Network with Artificial Bee Colony Based Backpropagation Method
Sudarshan Nandy, Partha Pratim Sarkar, Achintya Das
Back-propagation algorithm is one of the most widely used and popular techniques to optimize the feed forward neural network training. Nature inspired meta-heuristic algorithms als…
Analysis of a Statistical Hypothesis Based Learning Mechanism for Faster crawling
Sudarshan Nandy, Partha Pratim Sarkar, Achintya Das
The growth of world-wide-web (WWW) spreads its wings from an intangible quantities of web-pages to a gigantic hub of web information which gradually increases the complexity of cra…
Analysis of Statistical Hypothesis based Learning Mechanism for Faster Crawling
Sudarshan Nandy, Partha Pratim Sarkar, Achintya Das
The growth of world-wide-web (WWW) spreads its wings from an intangible quantities of web-pages to a gigantic hub of web information which gradually increases the complexity of cra…
Mining Frequent Itemsets Using Genetic Algorithm
Soumadip Ghosh, Sushanta Biswas, Debasree Sarkar +1
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm…