Indeed, neural networks are reported to be highly successful in the Japanese financial markets. 6.7 Servo Control Controlling complicated systems is one of the more promising areas of neural networks. Most conventional control systems model the operation of all the system's processes with one set of formulas. To customize a system for a specific process, those formulas must be manually tuned. It is an intensive process which involves the tweaking of parameters until a combination is found that produces the desired results.
Neural networks offer two advantages.
First, the statistical model of neural networks is more complex that a simple set of formulas, enabling it to handle a wider variety of operating conditions without having to be retuned. Second, because neural networks learn on their own, they don't require control system's experts, just simply enough historical data so that they can adequately train themselves. Within the oil industry a neural network has been applied to the refinery process. The network controls the flow of materials and is touted to do that in a more vigilant fashion than distractible humans. NASA is working on a system to control the shuttle during in-flight maneuvers.