Seshu Kumar Damarla
Followers: 0 Following: 0
I am a postdoctoral fellow in Chemical and Materials Engineering at University of Alberta. I work with machine learning and statistical learning algorithms to address problems such as soft sensor and valve stiction in process systems engineering.
MATLAB, Fortran
Spoken Languages:
English, Telugu
Professional Interests:
Modeling and Prediction, AI for Signals and Images, Oil, Gas & Petrochemical
Statistics
10 Files
RANK
N/A
of 289,919
REPUTATION
N/A
CONTRIBUTIONS
0 Questions
0 Answers
ANSWER ACCEPTANCE
0.00%
VOTES RECEIVED
0
RANK
5,971 of 19,607
REPUTATION
189
AVERAGE RATING
1.00
CONTRIBUTIONS
10 Files
DOWNLOADS
45
ALL TIME DOWNLOADS
1896
RANK
of 144,286
CONTRIBUTIONS
0 Problems
0 Solutions
SCORE
0
NUMBER OF BADGES
0
CONTRIBUTIONS
0 Posts
CONTRIBUTIONS
0 Public Channels
AVERAGE RATING
CONTRIBUTIONS
0 Highlights
AVERAGE NO. OF LIKES
Feeds
Submitted
Linear_Discriminant_Analysis_Classifier
Linear Discriminant Analysis for Multi-class Classificaiton
2 years ago | 1 download |
Submitted
Naive-Bayes-classification
Gaussian Naive Bayes for multi-class classification
2 years ago | 4 downloads |
Submitted
Gradient Descent with Momentum algorithm for Neural Networks
Training Algorithm for Neural Networks. Please note that the code is written in Python. It cannot run on Matlab.
2 years ago | 2 downloads |
Submitted
Adam Optimization Algorithm for Machine and Deep Learning
Adam is an optimization algorithm that can be used instead of the classical stochastic gradient descent procedure to update netw...
2 years ago | 5 downloads |
Submitted
Multilayer Perceptron Neural Network
MLP is trained with gradient descent algorithm.
2 years ago | 2 downloads |
Submitted
k-nearest neighbors algorithm for classification
KNN for classification
2 years ago | 4 downloads |
Submitted
General Regression Neural Network
General Regression Neural Network is a variant of radial basis function neural network and used for nonlinear function approxima...
2 years ago | 11 downloads |
Submitted
Wavelet Neural Network
This neural network can be used to build classification and regression models
2 years ago | 12 downloads |
Submitted
Radial Basis Function Neural Network
Regression model, Soft Sensor
3 years ago | 4 downloads |
Submitted
Extreme Learning Machine
This code is useful to develop regression models.
3 years ago | 2 downloads |