Heart attack prediction using deep neuro fuzzy Inputs will be in the datafile that will go to the Simulink model and the output will be in an oscilloscope. Web application should be made for deep fuzzy system -- 2
Budget $30-250 USD
1. 6 input divided into 3 (2 input = 1 output) and 3 will be the output. 2 layer deep fuzzy
2. From the 3 outputs, 1 fuzzy output should be extracted which will show whether it is risk or no risk
3. 3 part model to be transferred to Simulink
4. 3 of the inputs will be in the datafile that will go to the Simulink model and the output will be in an oscilloscope
5. 2 file should be kept in which data paper or plot can be done from 2 files
6. . By combining 3 Simulink models, 3 outputs should be fitted to 1 neural network, 1 output from the neural network will be output that the patient has risk or no risk.
7. Web application should be made for deep neuro fuzzy system
4 freelances font une offre moyenne de 260 $ pour ce travail
% Define the input and output variables input_var1 = newfis('input_var1'); input_var2 = newfis('input_var2'); input_var3 = newfis('input_var3'); output_var1 = newfis('output_var1'); output_var2 = newfis('output_var2'); Plus
Hello, I have more than seven years of experience in the office and more than three years of freelance experience in the required task and would like to help you with this task. Thanks for posting in my area of work.
Nice to talk you armansheikhrokon, After reading in detail the requirements of your project and concluding that they match my areas of knowledge and skills, I would like to introduce myself. My name is Anthony Muñoz Plus