IntelligenceLab VC++

IntelligenceLab VC++ is a toolkit with components for developers who want to add extensive, artificial-intelligence capabilities to their programs.

This package is part of the wider IntelligenceLab toolkit. The entire package contains three different parts; each one has components needed for different development purposes — for Firemonkey and VCL Installers, for Visual C++ installers, and for .NET platforms.

The actual library contains classifiers (such as Naive Bayesian, Nearest Neighbor, Neural Network, Self Organizing Map, or Radial Basis Function Network classifiers), converters (for pairing distinct data buffers), custom and generic filters (user-defined filers for real, binary, timing, and real matrix data), generic generators (user-defined instances), signal filters and generators, timing components, and finally, training algorithms (for training neural networks using Backprop and RProp, and for data preparations).

All of the tools included in this toolkit create a self-contained and dependency-correlated environment. For example, the timing components provide a clock for other components and help generate main thread notifications inside the newly-created features/apps.

As such, using IntelligenceLab VC++ you can add intelligent features to your existing apps or build new programs, from scratch. These instruments are perfect for data grouping, SPAM filter creation, or to build and add computer vision, speech recognition, and data classification features in any Microsoft Visual C++ programs.