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Description
Automated variable selection helps to pinpoint essential variables along with their interactions, while effective visualization techniques enhance understanding of data and model behaviors. Additionally, the execution of batch commands complements SQL queries and dataset exploration. Pre-processing and post-processing steps are crucial for variable creation and output constraints, among other tasks. Models can be readily deployed through ActiveX (i.e., OCX) controls or DLLs, making implementation straightforward. The suite of advanced modeling algorithms encompasses regression, neural networks, self-organizing maps, dynamic clustering, decision trees, fuzzy logic, and genetic algorithms. Predictive Dynamix offers robust computational intelligence software that serves a wide array of applications, including forecasting, predictive modeling, pattern recognition, classification, and optimization, catering to various industries. Leveraging modern neural network technologies, these solutions provide powerful mechanisms for tackling complex challenges in forecasting and pattern recognition. Multi-layer perceptron neural networks are particularly noteworthy for their architecture, enabling multiple coefficients for each input variable, thus enhancing the model's adaptability and accuracy. This versatility in neural network design is crucial for addressing the diverse needs of contemporary data analysis challenges.
Description
ndCurveMaster, a specialized curve fitting software, is designed to fit curves with multiple variables. It automatically applies nonlinear equations to your datasets. These can be observed or measured values. The software supports curve and surfaces fitting in 2D 3D 4D 5D ..., dimensions. ndCurveMaster is able to handle any data, no matter how complex or how many variables there are.
ndCurveMaster, for example, can efficiently derive the optimal equations for a dataset that has six inputs (x1-x6) and a corresponding output Y. For example: Y = a0 - a1 - exp(x1)0.5 + a2 ln(x2)8... + a6 x65.2 to accurately match measured value.
ndCurveMaster uses machine learning numerical methods to automatically fit the most suitable nonlinear regression function to your dataset, and discover the relationships between inputs and outputs. This tool supports various curve fitting methods, including linear, polynomial, and nonlinear methods. It also utilizes essential validation and goodness-of-fit tests to ensure accuracy. Additionally, ndCurveMaster provides advanced assessments, such as detecting overfitting and multicollinearity, using tools like the Variance Inflation Factor (VIF) and the Pearson correlation matrix.
API Access
Has API
API Access
Has API
Integrations
Pascal
Python
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
€289
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Predictive Dynamix
Founded
1999
Website
predictivedynamix.com/dmsuite.htm
Vendor Details
Company Name
SigmaLab Tomas Cepowski
Founded
2017
Country
Poland
Website
www.ndcurvemaster.com
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
