Neural Networks Neural networks are named after the cells in the human brain that perform intelligent operations. The brain is made up of billions of neuron cells. Neural networks are formed from hundreds or thousands of simulated neurons connected together in much the same way as the brain's neurons. Just like people, neural networks learn from experience, not from programming.
Neural networks are good at pattern recognition, generalization, and trend prediction.
They run fast, are tolerant of imperfect data, and do not need formulas or rules. For example, a neural network can learn to predict next week's Dow, detect flaws in concrete, or recommend the numberof jurors to be called on a given day. Walkrich common stock value ratings are based on a complex neural network model of company fundamentals leading to fundamentally sound estimates of market value for value investors. Walkrich Ratings are prepared solely forinformational purposes and are not a solicitation, or an offer to buy or sell any security. The ratings do not purport to be a complete description of the securities, markets, or developments referred to in the material on this site or E-mailed at another time.