Neural network rule extraction for gaining insight into the characteristics of poverty

• Main Authors: Azcarraga, Arnulfo P., Setiono, Rudy
• Format: text
• Published: Animo Repository 2018
• Subjects: Back propagation (Artificial intelligence); Poverty—Data processing; Neural networks (Computer science); Software Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2098
• Institution: De La Salle University

Nearly one in five families in the country was poor in 2012, according to the Philippine Statistics Authority. While this proportion is lower than the corresponding figures from 2006 and 2009, the absolute number of poor families has actually grown from 3.8 million in 2006 to 4.2 million in 2012 due...