How to easily use ANN for prediction mapping using GIS data?

First Simplified Step-by-Step Artificial Neural Network Methodology in R for Prediction Mapping using GIS Data
4.49 (183 reviews)
Udemy
platform
English
language
Data Science
category
How to easily use ANN for prediction mapping using GIS data?
966
students
7.5 hours
content
Sep 2023
last update
$59.99
regular price

What you will learn

With Step by step description we will be together facing the common software and code misleadings.

1. Produce training and testing data using automated tools in QGIS (Optional). Or jump this and using your own training/testing data directly.

2. Run NeuralNet function with training data and testing data. (use my QGIS tools as an option OR use your preferable data production technique directly)

3. Plot NN function network and get all the outputs like; Error rate, statistics, Pairwise and Generalized weight plot

4- Prediction and Validation Mapping Accuracy using AUC value of ROC plot

4. Produce and export prediction map using Raster data

Screenshots

How to easily use ANN for prediction mapping using GIS data? - Screenshot_01How to easily use ANN for prediction mapping using GIS data? - Screenshot_02How to easily use ANN for prediction mapping using GIS data? - Screenshot_03How to easily use ANN for prediction mapping using GIS data? - Screenshot_04
2268034
udemy ID
3/12/2019
course created date
3/14/2020
course indexed date
MAHAMAT OUCHAR
course submited by