Publication

Abstract : Alzheimer’s disease (AD) refers to a neuro-degenerative chaos that is a general kind of dementia which leads to memory loss, and lack of cognitive functioning and so on. Magnetic Resonance Imaging (MRI) is popularly utilized for human body imagings. MRI is a fundamentally non-invasive method giving high degree clarity on the soft tissue inside the brain better than conventional Computed Tomography (CT), ultrasound, Positron Emission Tomography (PET), etc. SVM is a kind of ANN (artificial neural network) which has got training from supervised learning methods and had showed the benefits of decreasing the training-testing error and hence producing greater recognition precision. This paper investigates empirically PSO’s (Particle Swarm Optimization’s) effectiveness towards selection of features.