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
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