| 摘要 |
A Forward Feed Neural Network is disclosed using data flow techniques on a data flow microprocessor. As a result of this invention, a neural network is provided that has the capacity of "learning" to distinguish among patterns of data which may differ recognizably from idealized cases, and is able to perform pattern recognition faster while utilizing less memory and fewer clock cycles than neural networks implemented on sequential processors. This implementation is simpler and faster because of an inherent similarity between the flow of information in the brain and in data flow architecture.
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