Latest Courses
Laravel classified ads web application from scratchCheck course
Laravel Forum - Build a Forum with Laravel 2022Check course
Next.js Projects - 3 NextJS projects (Instagram, Google,...)Check course
Natural Language Processing Masterclass with PythonCheck course
Natural Language Processing: Machine Learning NLP In PythonCheck course
Create a Laravel server with mobile integration.Check course
Live Project using Ntier Arch (.NET5 + EF Core + Angular)Check course
Kivy MD | Build a News Mobile App Using PythonCheck course
Oracle SQLCheck course
Salesforce Flows - Learn Salesforce Lightning Flows FastCheck course
Laravel classified ads web application from scratchCheck course
Laravel Forum - Build a Forum with Laravel 2022Check course
Next.js Projects - 3 NextJS projects (Instagram, Google,...)Check course
Natural Language Processing Masterclass with PythonCheck course
Natural Language Processing: Machine Learning NLP In PythonCheck course
- 82% How to use ANN for prediction mapping using GIS data?

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

$14.99Track price

(13 customer reviews)
Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare
8.3/10 (Our Score)
Product is rated as #61 in category Artificial Intelligence

Artificial Neural Network (ANN) is one of the advanced Artificial Intelligence (AI) component, through many applications, vary from social, medical and applied engineering, ANN proves high reliability and validity enhanced by multiple setting options.

Using ANN with Spatial data, increases the confidence in the obtained results, especially when it compare to regression or classification based techniques. as called by many researchers and academician especially in prediction mapping applications.

Together, step by step with school–bus speed, will cover the following points comprehensively (data, code and other materials are provided) using NeuralNet Package in R and Landslides data and thematics maps.

Produce training and testing data using automated tools in QGIS OR SKIP THIS STEP AND USE YOUR OWN TRAINING AND TESTING DATA

Run Neural net function with training data and testing data

Plot NN function network

Pairwise NN model results of Explanatories and Response Data

Generalized Weights plot of Explanatories and Response Data

Variables importance using NNET Package function

Run NNET function

Plot NNET function network

Variables importance using NNET

Sensitivity analysis of Explanatories and Response Data

Run Neural net function for prediction with validation data

Prediction Validation results with AUC value and ROC plot

Produce prediction map using Raster data

Import and process thematic maps like, resampling, stacking, categorical to numeric conversion.

Instructor Details

Omar AlThuwaynee, is a Postdoctoral researcher at department of Energy and Minerals Resources Engineering, Sejong university, Seoul, South Korea. Carry a BEng. and MSc. in Civil Engineering and the Built environment, PhD. in GIS and Geomatics Engineering. Specialist in natural hazards, geospatial data analysis,Data Mining and GIS applications, with more than 10 academic years of experience. My published record of research articles in peer reviewed journals, focus mainly on: Urban infrastructure projects, Natural and man-made hazards analysis and Risk management, and Spatial data analysis. Currently, serving as editor in Landslides (Journal of the International Consortium on Landslides). Gladly welcome of research collaborative and sharing initiatives, especially in development of novel approaches to fill up research gaps. Research Tools: freeware GIS (R, QGIS, GRASS GIS, gSIG, Whitebox GAT) in addition to ENVI and ArcGIS. Geomatics for Better Life..!

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

Duration

7.5 hours

Year

2022

Level

Intermediate

Certificate

Yes

Quizzes

No

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

4.5 out of 5
8
4
1
0
0
Write a review
Show all Most Helpful Highest Rating Lowest Rating
  1. Murat Durgun

    Perfect. Thank you.

    Helpful(0) Unhelpful(0)You have already voted this
  2. Dionysius Bryan Sencaki

    It’s good series lecture to broaden my view and knowledge about application of AI sub field, neuralnet, in performing prediction using geo spatial data

    Helpful(0) Unhelpful(0)You have already voted this
  3. Abdelhak El–fengour

    A huge effort was made in this course, thank you Mr. Omar for sharing and helping the community.

    Helpful(0) Unhelpful(0)You have already voted this
  4. Abdelhak El fengour

    A huge effort was made in this course, thank you Mr. Omar for sharing and helping the community.

    Helpful(0) Unhelpful(0)You have already voted this
  5. Arun

    Its really an amazing course thanking Omar AlThuwaynee and udemy for providing this course

    Helpful(0) Unhelpful(0)You have already voted this
  6. Bankim

    The instructor has a good knowledge about what he speaks. Yet the manner of delivery could have been simplified or had been more engaging. It seems like the whole series is prepared in one go. The excessive test codes converted into comments, and dataframe corrections which were in a way increasing the learning, could have been lesser. I was almost new to R though had experience in python and came to know about the things we can do more easily here particularly in relation to GIS. After my honest opinions I am still thankful to the instructor for having provided the information about running ANN in GIS. R was much easier for me than the QGIS models! Thanks.

    Helpful(0) Unhelpful(0)You have already voted this
  7. Josh Erickson

    Was super helpful in finishing a project I was working on! Would recommend.

    Helpful(0) Unhelpful(0)You have already voted this
  8. Kshitij Dahal

    Amazing Dr. Omar. Thank you for being so good.

    Helpful(0) Unhelpful(0)You have already voted this
  9. Kevin Steve Huerta Gonzales

    Hace un tiempo estuve buscando sobre este tema y no lo encontraba. Ahora que lo encontr estuvo excelente el curso, Ahora podr desarrollar mi Tesis de Grado. Lo Recomiendo totalmente. Gracias por el curso, estar a genial si lo pudiera hacer tambi n con SVM y con Python.

    Helpful(0) Unhelpful(0)You have already voted this
  10. Narongpon sumdang

    Excellent

    Helpful(0) Unhelpful(0)You have already voted this
  11. Daniel Morales M ndez

    Un muy buen curso, detallado y con el contenido suficiente para ser aplicado con datos de investigaciones propias. Se requiere un conocimiento de intermedio a avanzado en estad stica y probabilidad para obtener mejores resultados.. A very good course, detailed and with enough content to be applied with your own research data. An intermediate to advanced knowledge of statistics and probability is required to obtain better results. Happy learning!

    Helpful(0) Unhelpful(0)You have already voted this
  12. Naser Ahmed

    Thanks for clearing each and every steps. Thanks to Dr. Omar.

    Helpful(0) Unhelpful(0)You have already voted this
  13. Ishika Pal

    Perfect!

    Helpful(0) Unhelpful(0)You have already voted this

    Add a review

    Your email address will not be published.

    This site uses Akismet to reduce spam. Learn how your comment data is processed.

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

    $14.99

    Price tracking

    Java Code Geeks
    Logo
    Register New Account
    Reset Password
    Compare items
    • Total (0)
    Compare