ANALYSIS OF HEART DISEASES DATASET USING NEURAL NETWORK APPROACH (JAVA)
$30-250 NZD
Paid on delivery
In this experiment the neural network is trained with Heart Diseases database by using feed
forward neural network model and backpropagation learning algorithm with momentum and
variable learning rate. The input layer of the network consists of 13 neurons to represent each
attribute as the database consists of 13 attributes. The number of classes are four: 0 – normal
person,1 - first stroke, 2- second stroke and 3- end of life. The output layer consists two neurons
to represent these four classes. The description of the backpropagation algorithm is specified in
the above is used to train the neural network during the training process. Several neural networks
are constructed with and without hidden layers, i.e, single and multi layer networks and trained
with heart disease dataset.
Project ID: #16919369
About the project
4 freelancers are bidding on average $70 for this job
Hello I have done our thesis on heart disease using neural network. You can give the chance to do your experiment.