LabVIEW 2017 Analytics and Machine Learning Toolkit

LabVIEW 2017 Analytics and Machine Learning Toolkit. This solution includes VIs for training machine learning models that discover patterns in large amounts of data. You can deploy trained machine learning models to recognize patterns in new data.

About LabVIEW 2017 Analytics and Machine Learning Toolkit. The LabVIEW Analytics and Machine Learning Toolkit integrates predictive analytics and machine learning into LabVIEW. It includes VIs for training machine learning models that discover patterns in large amounts of data through anomaly detection, classification, and clustering algorithms. These models can then be deployed to recognize the patterns in new data on Windows computers or NI Linux Real-Time targets. The toolkit works well for condition monitoring and predictive maintenance applications. 

The following algorithms are included with this toolkit:

- Feature reduction: PCA, Kernel PCA, Fischer Discriminant
- Anomaly detection: GMM, One-Class SVM, PCA T2/Q, SOM-MQE
- Clustering: K-means, GMM, DBSCAN
- Classification: SVM, Neural Network, Logistic Regression

The LabVIEW Analytics and Machine Learning Toolkit uses algorithms from the IMS Center Watchdog Agent.

Download uploaded
http://ul.to/ksrqew4m

Download nitroflare
http://nitroflare.com/view/717543066186D22/bV17AnMaLeToo.rar