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The novel ACO simulates the behavior of weaver ants, known for their unique nest building behavior where workers construct nests by weaving together leaves using larval silk. The proposed Weaver Ant Colony Optimization (WACO) based Backpropagation Neural Network (WACO-BPN) is applied for classifying digital mammograms received from MIAS database. The performance is analyzed with Receiver Operating Characteristics (ROC) curve. The greater accuracy of 97% states the grander performance of the proposed neural network learning approach.<\/p>","DOI":"10.4018\/ijsir.2013070102","type":"journal-article","created":{"date-parts":[[2014,1,20]],"date-time":"2014-01-20T17:44:11Z","timestamp":1390239851000},"page":"22-41","source":"Crossref","is-referenced-by-count":1,"title":["Weaver Ant Colony Optimization-Based Neural Network Learning for Mammogram Classification"],"prefix":"10.4018","volume":"4","author":[{"given":"A. 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