Neural network applications-process identification
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Process Identification Using Neural Networks. This report describes a series of tests in which a backpropagation neural network was used for process identification. The report demonstrates that improvements in neural network identification are possible by building upon established identification techniques.
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Neural network applications-process identification:
The Neural network applications utilize the handling of the cerebrum as a premise to create calculations that can be utilized to show complex examples and expectation issues.
In our mind, there are billions of cells called neurons, which procedures data as electric sign.
Outer data/upgrades is received by the dendrites of the neuron, prepared in the neuron cell body, changed over to a yield and moves through the Axon to the following neuron. The following neuron can decide to either acknowledge it or reject it relying upon the quality of the sign.
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