Attrasoft Boltzmann Machine (ABM) for Windows 95/98 simulates two types of neural networks:
Hopfield Model
Boltzmann Machine
ABM 2.7:
Nominated by PC Magazine for the 1996 Ziff-Davis Shareware Award;
Simulates two powerful types of neural networks, the Boltzmann Machine and the Hopfield Model;
If it fails to recognize a pattern, one retraining will fix it;
If you train with the wrong information by accident or by design, retraining will correct it;
Can handle conflicting training data;
Supports 1D and 2D translation, scaling, and rotation- symmetries;
Works for any pattern recognition problem;
Supports up to 10,000 external neurons;
Includes more than ten examples to walk you through, including one with more than 4,000 classes;
Learns more than 4,000 characters in 20 seconds and recognizes one of the 4,000 characters in 0.5 seconds, a speed unachievable by humans;
ABM does not lose focus or clarity as the net gets larger.
ABM 2.7 will allow a maximum number of 10,000 external neurons to be used. There are two basic types of tasks we expect the software to perform:
1. Classification: Given a pattern, find its class;
2. Determine a Pattern: Given a classification and part of a pattern, complete the pattern.
There are several reasons you should choose ABM:
ABM is large: ABM supports up to 10,000 neurons. Customized software can increase the number of neurons to 1,000,000.
ABM is fast: ABM can learn more than 4,000 characters in 20 seconds and recognize one of the 4,000 characters in 0.5 seconds.
ABM is accurate: ABM can solve any problem (for example, image recognition, prediction of stock market and Internet image search engine).
ABM is neural-net-size invariant, i.e., you can encode a problem with a smaller net and a larger net; the results for the larger net is equally good as the smaller net.
Customized versions of the ABM are also available upon request

Attrasoft Boltzmann Machine (ABM) is the Shareware version. The full version can be purchased by clicking on the "CLICK HERE TO ORDER" button below for around  99.99USD.