الفهرس 
Design of energy adaptive neural networks using approximate compiting and partial dynamic reconfiguration
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Abstract
This thesis represents the idea of using partial dynamic reconfiguration in the design and implementation of energy adaptive neural networks.The thesis also represents the idea of using approximate multipliers in the design of Izhikevich neuron model