
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.
MATLAB, Fortran
Spoken Languages:
English, Telugu
Professional Interests:
Modeling and Prediction, Machine Learning and Deep Learning, Detect and Predict Faults, Oil, Gas & Petrochemical
Statistics
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Content Feed
Submitted
Linear_Discriminant_Analysis_Classifier
Linear Discriminant Analysis for Multi-class Classificaiton
7 maanden ago | 1 download |
Submitted
Naive-Bayes-classification
Gaussian Naive Bayes for multi-class classification
7 maanden ago | 3 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.
8 maanden ago | 3 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...
8 maanden ago | 12 downloads |

Submitted
Multilayer Perceptron Neural Network
MLP is trained with gradient descent algorithm.
8 maanden ago | 4 downloads |

Submitted
k-nearest neighbors algorithm for classification
KNN for classification
8 maanden ago | 3 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...
8 maanden ago | 4 downloads |

Submitted
Wavelet Neural Network
This neural network can be used to build classification and regression models
meer dan een jaar ago | 10 downloads |

Submitted
Radial Basis Function Neural Network
Regression model, Soft Sensor
meer dan een jaar ago | 7 downloads |
Submitted
Extreme Learning Machine
This code is useful to develop regression models.
meer dan een jaar ago | 9 downloads |
