You have to follow the steps as given below before developing a numerical model from a given set of data : Outlier Detection -Chauvenet -Dixon Thompson -Rosner's Method Trend Detection -Runs Test Correlation Determination -Auto and Cross-Correlation Risk and Uncertainty -What is Risk and Vulnerability? -Weibull’s Method
Showing posts with label free tutorial. Show all posts
Showing posts with label free tutorial. Show all posts
Thursday, September 26, 2024
What should we do before we start to develop a numerical model ?
You have to follow the steps as given below before developing a numerical model from a given set of data : Outlier Detection -Chauvenet -Dixon Thompson -Rosner's Method Trend Detection -Runs Test Correlation Determination -Auto and Cross-Correlation Risk and Uncertainty -What is Risk and Vulnerability? -Weibull’s Method
Monday, September 16, 2024
Free Tutorial on CFD
Full Content :
Classification of Linear PDE
Taylor Series Expansion
Condition of Convergence and Stability
Discretization of Parabolic PDE
Discretization of Elliptic PDE
..by Gauss Siedel Method
Crank Nicholson Method
Numericals on Crank Nicholson Method
Finite Difference Method
Numericals on Finite Difference Method
The Richardson Extrapolation MethodClick here to access the tutorial.
Saturday, August 24, 2024
Nine MCDM METHOD in one Book #freetutotorials #MCDM #ecourse
Nine MCDM Methods in one book :
1) ELECTRE : ELIMINATION AND CHOICE TRANSLATING REALITY
2)FMAE : FAILURE MODE EFFECTS ANALYSIS
3)MAUT : MULTI ATTRIBUTE UTILITY THEORY
4&5)PROMETHEE : PREFERENCE RANKING ORGANIZATION METHOD
FOR ENRICHMENT EVALUATION (One and Two)
6)RA : RELIABILITY ANALYSIS
7)WSM : WEIGHTED SUM METHOD
8)WPM : WEIGHTED PRODUCT METHOD
9)DELPHI
All these are free video tutorials.
For case studies and project ideas please upgrade to Paid Member of Baipatra VSC.
Labels:
decision making,
ELECTRE,
free tutorial,
MAUT,
MCDM,
PROMETHEE,
tutorial
Friday, August 16, 2024
Ecourse : Artificial Intelligence and Water Resources
Ecourse : Artificial Intelligence and Water Resources
Learn about Artificial Neural Networks, the backbone of Artificial Intelligence in a self-paced manner. Simple and Polynomial Neural Networks were covered with self-explanatory presentations and examples of problems from Water Resources.
The content of the course is as follows:
1 What is ANN?
2 Training Algorithms: Conjugate Gradient Descent and Newton Method
3 Training Algorithms : Quasi Newton and Levenberg Meruardt
4 Advanced ANN: PNN with the help of GMDH
5 GMDH
6 Performance Metrics
7 Example Application in Water Resource Development
8 No Code Software for ANN Application
In addition to this multiple Case studies will be discussed.
@Home Page
Labels:
AI,
artificial intelligence,
digital course,
ecourse,
free tutorial,
online course
Ecourse: Geographical Information System
Labels:
digitization,
ecourse,
free tutorial,
GIS,
online course
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