Performance evaluation using soft computing techniques
₹600-1500 INR
Betalades vid leverans
A study of academic performance
evaluation using soft computing techniques inspired
by the successful application of K-means, fuzzy
C-means (FCM), subtractive clustering (SC), hybrid
subtractive clustering-fuzzy C-means (SC-FCM) and
hybrid subtractive clustering-adaptive neuro fuzzy
inference system (SC-ANFIS) methods for solving academic
performance evaluation problems. The five
methods (commonly known as data clustering techniques)
and their performances are determined by root mean square
error (RMSE). Basically, we want the implementation in MATLAB in the same way as it has been done in the paper using the [login to view URL] dataset AND FIRST 1000 values of [login to view URL] dataset.
Projekt-id: #19593772
About the project
1 frilansare har i genomsnitt lagt bud på ₹1250 för detta jobb
Understood your project and falls into my area of expertise. I'm expert in MATLAB and it's major tools and more importantly READILY AVAILABLE. I assure you, your project would be in safe hands if awarded. You'll be exp Mer
