Forecast using Neural Network by MAQ Software

Use the Neural Network algorithm to forecast future values based on historical data.

Forecasting using Neural Network by MAQ Software implements an “Artificial Neural Network” to learn from historical data and predict future values. This visual uses a single layer feed forward network with lagged inputs to process time series values. R package dependencies (auto-installed): forecast, plotly, zoo, xts.

Forecasting using Neural Network by MAQ Software is useful for forecasting budgets, sales, demand, or inventory.

Key features:

  • Ability to use years or distinct numerical values in place of date and time field. (The visual will work for both numerical series, i.e. years or numbers, and proper date and time values).
  • Hover tooltips and highlighting of specific portions of the plot.
  • Capability to manually adjust the parameters of the learning model.
Add-in capabilities

When this add-in is used, itCan read and make changes to your documentCan send data over the Internet

Membership


***** Related Blog Posts *****
Creating Multi Threaded Dynamic Visuals – Advanced Power BI Technique
Custom Dynamic Segmentation Using DAX In Power BI

***** Related Video Tutorials *****
Create Dynamic Visuals Based On Ranking in Power BI w/DAX

Outlier Detection & Visualization in Power BI – Advanced DAX
How To Use Virtual Tables With COUNTROWS in Power BI – DAX Formula Technique
RANKX Considerations – Power BI & DAX Formula Concepts
Manufacturing Operations – Power BI Showcase

Center of Excellence

***** Related Course Modules *****
Ultimate Beginners Guide to Power BI
Power BI Super Users Workshop
Solving Analytical Scenarios w/ Power BI & DAX
Advanced Analytics in Power BI
Financial Reporting w/ Power BI
Power BI Showcases

***** Related Support Forum Posts*****
Custom Visual AppStore
Custom Visuals vs Standard Visuals
Power BI – Creativity