Medical Data Classification using Fuzzy Main Max Neural Network Preceded by Feature Selection through Moth Flame Optimization

A fuzzy neural network for pattern classification and feature selection

Network Traffic Classification Using Feature Selection and Parameter Optimization

Abstract—Network traffic classification is the foundation of many network research works. In recent years, the research on traffic classification and identification based on machine learning method is a new research direction. Support Vector Machine (SVM) is the one of the machine learning method which performs good accuracy and stability. However, the traditional classification performance of...

Feature Selection Using Evolutionary Functional Link Neural Network for Classification

Received Sep 17, 2017 Revised Nov 18, 2017 Accepted Nov 23, 2017 Computational time is high for Multilayer perceptron (MLP) trained with back propagation learning algorithm (BP) also the complexity of the network increases with the number of layers and number of nodes in layers. In contrast to MLP, functional link artificial neural network (FLANN) has less architectural complexity, easier to tr...

Parkinsons Disease Classification using Neural Network and Feature Selection

In this study, the Multi-Layer Perceptron (MLP)with Back-Propagation learning algorithm are used to classify to effective diagnosis Parkinsons disease(PD).It’s a challenging problem for medical community.Typically characterized by tremor, PD occurs due to the loss of dopamine in the brains thalamic region that results in involuntary or oscillatory movement in the body. A feature selection algor...

Distinguishing Feature Selection for Fabric Defect Classification Using Neural Network

Over the years significant research has been performed for machine vision based fabric inspection systems in order to replace manual inspection, which is time consuming and not accurate enough. Automated fabric inspection systems mainly involve two challenging problems: one is defect detection and another is classification, which remains elusive despite considerable research effort in automated...