Neural Designer
 | |
| Developer(s) | Artelnics |
|---|---|
| Written in | C++ |
| Operating system | Microsoft Windows, OS X, Linux |
| Type | Data mining, machine learning, predictive analytics |
| License | Proprietary software |
| Website | www.neuraldesigner.com |
Neural Designer is a software tool for machine learning based on neural networks, a main area of artificial intelligence research, and contains a graphical user interface which simplifies data entry and interpretation of results.
In 2015, Neural Designer was chosen by the European Commission, within the Horizon 2020 program, as a disruptive technology in the ICT field.[1]
Features[]
Neural Designer performs descriptive, diagnostic, predictive and prescriptive data analytics. It implements deep architectures with multiple non-linear layers and contains utilities to solve function regression, pattern recognition, time series and autoencoding problems.[2]
The input to Neural Designer is a data set, and the output from it is a predictive model. That result takes the form of an explicit mathematical expression, which can be exported to any computer language or system.[3]
Related tools[]
- Weka: free machine learning and data mining software.
- RapidMiner: free and commercial machine learning framework implemented in Java.
- KNIME: free and commercial machine learning and data mining software.
See also[]
- Artificial intelligence
- Artificial neural network
- Comparison of deep learning software
- Data mining
- Deep learning
- Machine learning
- Predictive analytics
References[]
- ^ "European Commission : CORDIS : Projects and Results : A high performance solution for predictive analytics". European Commission. May 2015.
- ^ Louis Lott (2014). Deep Learning, 52 Most Asked Questions - What You Need To Know. ISBN 9781488805813.[dead link]
- ^ "Neural Designer, Data mining and learning analytics tools". Edutech wiki. May 2015.
- C++ software
- Data mining and machine learning software
- Deep learning
- Neural network software
- Proprietary software that uses Qt