Seshu Kumar Damarla
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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
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Feeds
Inviato
Linear_Discriminant_Analysis_Classifier
Linear Discriminant Analysis for Multi-class Classificaiton
quasi 2 anni fa | 1 download |
Inviato
Naive-Bayes-classification
Gaussian Naive Bayes for multi-class classification
quasi 2 anni fa | 4 download |
Inviato
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.
quasi 2 anni fa | 2 download |
Inviato
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...
quasi 2 anni fa | 5 download |
Inviato
Multilayer Perceptron Neural Network
MLP is trained with gradient descent algorithm.
quasi 2 anni fa | 2 download |
Inviato
k-nearest neighbors algorithm for classification
KNN for classification
quasi 2 anni fa | 4 download |
Inviato
General Regression Neural Network
General Regression Neural Network is a variant of radial basis function neural network and used for nonlinear function approxima...
quasi 2 anni fa | 9 download |
Inviato
Wavelet Neural Network
This neural network can be used to build classification and regression models
oltre 2 anni fa | 13 download |
Inviato
Radial Basis Function Neural Network
Regression model, Soft Sensor
quasi 3 anni fa | 4 download |
Inviato
Extreme Learning Machine
This code is useful to develop regression models.
quasi 3 anni fa | 2 download |