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—Artificial neural networks are a parallel, fault tolerant , robust solution for computational tasks such as associa-tive memories, pattern recognition and function approximation. There are many proposed implementations for artificial neural networks and network's learning algorithms both in hardware and software. Hardware implementation of learning(More)
—Operating in critical environments is an extremely desired feature for fault-tolerant embedded systems. In addition , due to design test and validation complexity of these systems , faster and easier development methods are needed. Evolv-able Hardware (EHW) is a development technique that, using reconfigurable hardware, builds systems that reconfiguration(More)
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