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NeuroXL Classifier (ClassifierXL)![]() Neural networks are a proven, widely used technology to solve complex classification problems. Loosely modeled after the human brain, neural networks are interconnected networks of independent processors that, by changing their connections (known as training), learn the solution to a problem. NeuroXL Classifier software implements self-organizing neural networks, which perform categorization by learning the trends and relationships within your data. NeuroXL Classifier's ability to handle numerous, often-interrelated variables makes it widely applicable to classifying market data. For example, a trader may wish to classify stocks as buy, hold, or sell based on historical data.
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