Svam Software Ltd.-

RESELLERS

SUPPORT

Software Marketing >> Statistical Softwares >>

The popularity of neural network methodology is rapidly growing in a wide variety of areas from basic research, to data mining applications, business forecasting and risk management, engineering, and others (see Example Applications). Statistica Neural Networks is the most technologically advanced and best performing neural networks application on the market. It offers numerous unique advantages and will appeal not only to neural network experts (by offering to them an extraordinary selection of network types and training algorithms), but also to new users in the field of neural computing (via the unique Intelligent Problem Solver, a tool that can guide the user through the necessary procedures for creating neural networks).

Statistica Neural Networks is a comprehensive, state-of-the-art, powerful, and extremely fast neural network data analysis package, featuring:

Integrated pre- and post-processing, including data selection, nominal-value encoding, scaling, normalization and missing value substitution, with interpretation for classification, regression and time series problems
Exceptional ease of use coupled with unsurpassed analytic power; for example, a unique wizard-style Intelligent Problem Solver can walk the user step-by-step through the procedure of creating a variety of different networks and choosing the network with the best performance (a task that would otherwise require a lengthy "trial and error" process and a solid background in the underlying theory).
Powerful exploratory and analytic techniques, including Principal Components Analysis and Input Feature Selection algorithms for choosing the right input variables in exploratory (neural networks) data analyses (selecting the right input variables for neural networks is often a time-consuming process; Statistica Neural Networks can perform this task for the user).
State-of-the-art, highly optimized training algorithms (including Conjugate Gradient Descent and Levenberg-Marquardt); full control over all aspects that influence the network performance such as activation and error functions, or network complexity.
Support for combinations of networks and network architectures of practically unlimited sizes organized in Network Sets; selective training of network segments; merging, saving of network sets in separate files.
Comprehensive graphical and statistical feedback that facilitates interactive exploratory analyses.
Full integration with the STATISTICA system; all results, graphs, reports, etc. can be further modified with STATISTICA's powerful graphics and analytic tools (e.g., to perform further analyses of prediction residuals, generate annotated summary reports, and so on).
Full integration with STATISTICA's powerful tools for automation; record complete macros for all analyses; program custom neural network analyses and applications in the STATISTICA Visual Basic environment, or call STATISTICA Neural Networks from any application that supports the Component Object Model (COM; e.g., automatically perform neural network analyses inside MS Excel spreadsheets, or incorporate neural network procedures in your own custom applications developed in C++, C#, Java, etc.).

Statistica Neural Networks - a technical description

Tackling the Real Issues in Neural Computing
Using neural networks involves more than simply feeding data to a neural network.
Input Data
Statistica Neural Networks is fully integrated with the STATISTICA system, so a large selection of tools for editing (preparing) data for analyses is available.
Input Selection and Dimensionality Reduction
Once you have a dataset prepared, you will need to decide which variables to use in your neural network.
Data Scaling and Nominal Value Preparation
In general, data must be specially prepared for input into neural networks, and also it is important that the network output can be interpreted correctly.
Selecting a Neural Network Model
The range of neural network models and the number of parameters which must be decided upon can seem bewildering.
The Intelligent Problem Solver
Included with Statistica Neural Networks is an Intelligent Problem Solver which can automatically evaluate a large number of different neural network architectures of varying complexities.
Training a Neural Network
Statistica Neural Networks supports the best known state-of-the-art training algorithms.
Probing and Testing a Neural Network
Statistica Neural Networks uses a range of on-screen statistics and graphical facilities.
Network Editing, Modification, and Pipe-lining
Statistica Neural Networks includes intelligent facilities to prune existing networks, and to join networks together.
Embedded Solutions
Statistica Neural Networks' simple and efficient user-interface allows you to rapidly prototype neural network solutions to your problems.
System Requirements
Size Limitations
Electronic Manual
Examples of Real-life Applications
Neural networks can be used in virtually any situation where the objective is to determine an unknown variable or attribute from known observations or registered measurements.