Heart Disease Classification Framework Using Fuzzy and Flower Pollination Neural Network

2019 ◽  
Vol 8 (1.6) ◽  
pp. 135-139
Author(s):  
Mohamad Haider Abu Yazid
Keyword(s):  
Neural Network ◽  
Heart Disease ◽  
Disease Classification ◽  
Flower Pollination ◽  
Classification Framework

scholarly journals Flower Pollination Neural Network For Heart Disease Classification

2019 ◽  
Vol 551 ◽  
pp. 012072
Author(s):  
Mohamad Haider Bin Abu Yazid ◽  
Mohamad Shukor Talib ◽  
Muhammad Haikal Satria
Keyword(s):  
Neural Network ◽  
Heart Disease ◽  
Disease Classification ◽  
Flower Pollination

Heart Disease Classification Using Artificial Neural Networks

2015 ◽  
Vol 781 ◽  
pp. 624-627 ◽  
Author(s):  
Rati Wongsathan ◽  
Pasit Pothong
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Decision Making ◽  
Heart Disease ◽  
Classification Accuracy ◽  
High Performance ◽  
Disease Classification ◽  
Generalized Regression Neural Network ◽  
The Neural Networks ◽  
Very High

Neural Networks (NNs) has emerged as an importance tool for classification in the field of decision making. The main objective of this work is to design the structure and select the optimized parameter in the neural networks to implement the heart disease classifier. Three types of neural networks, i.e. Multi-layered Perceptron Neural Network (MLP-NN), Radial Basis Function Neural Networks (RBF-NN), and Generalized Regression Neural Network (GR-NN) have been used to test the performance of heart disease classification. The classification accuracy obtained by RBFNN gave a very high performance than MLP-NN and GR-NN respectively. The performance of accuracy is very promising compared with the previously reported another type of neural networks.

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