Seshu Kumar Damarla
University of Alberta
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.
Modeling and Prediction, Machine Learning and Deep Learning, Detect and Predict Faults, Oil, Gas & Petrochemical
Linear Discriminant Analysis for Multi-class Classificaiton
3 meses ago | 3 downloads |
Gaussian Naive Bayes for multi-class classification
3 meses ago | 2 downloads |
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.
4 meses ago | 2 downloads |
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...
4 meses ago | 7 downloads |
Multilayer Perceptron Neural Network
MLP is trained with gradient descent algorithm.
4 meses ago | 13 downloads |
k-nearest neighbors algorithm for classification
KNN for classification
4 meses ago | 4 downloads |
General Regression Neural Network
General Regression Neural Network is a variant of radial basis function neural network and used for nonlinear function approxima...
4 meses ago | 9 downloads |
Wavelet Neural Network
This neural network can be used to build classification and regression models
alrededor de 1 año ago | 11 downloads |
Radial Basis Function Neural Network
Regression model, Soft Sensor
más de 1 año ago | 5 downloads |
Extreme Learning Machine
This code is useful to develop regression models.
más de 1 año ago | 12 downloads |