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ANALYSIS OF HEART DISEASES DATASET USING NEURAL NETWORK APPROACH (JAVA)

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.

Skills: Algorithm, Data Mining, Java, Machine Learning (ML)

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About the Employer:
( 25 reviews ) faridabad, India

Project ID: #16919369

4 freelancers are bidding on average $70 for this job

$31 NZD in 3 days
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sadaf6692

Hello, I have gone through your job description and can complete this job for you. I have completed similar project in Java Language on MyEclipse tool using weka jar file to execute machine learning algorithm. Diffe More

$56 NZD in 3 days
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TasnuvaAfzal

Hello I have done our thesis on heart disease using neural network. You can give the chance to do your experiment.

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snesterenkov

Hello, We are very interested in discussing your project. We're a team of highly experienced developers from Belarus (Eastern Europe). We have theoretical knowledge about neural networks and would like to begin s More

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