JIT_V6_N2_RP6
An Intelligent System based on Back-propagation Neural Network and Particle Swarm optimization Based Neural Network for Diagnosing Anemia in Pregnant Ladies
Neha Sharma
Vikas Khullar
Ashish Luhach
Journal on Information Technology
2277-5250
6
2
27
32
Anemia, Back Propagation, Particle Swarm Optimization, Artificial Neural Network, Pregnant Ladies, Particle Swarm Optimization based Neural Network
According to WHO According to World Health Organization (WHO) survey, anemia is one of the most commonly encountered medical deficiencies during pregnancy [5]. BP network has been successfully used for anemia diagnosing in pregnant ladies, however BP network's drawbacks, such as long execution time and its easy fall into local optima have restricted its wider applications. Recently proposed stochastic optimization method Particle Swarm Optimization (PSO) is also been discussed. Also the way BP network's initial weights and bias are optimized; Particle swarm optimization is also carefully discussed. In this paper, firstly BP is used to initially train and test the BP network, then the Particle Swarm Optimization Based Back-Propagation (PSO-BP) networks is used to train and diagnose the anemia in pregnant ladies. While concluding the experimental results, it shows variation in the taken parameters, execution time, and accuracy [10, 11], [16].
March - May 2017
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