Towards an Artificial Neural Network Framework
نویسندگان
چکیده
hardware-implemented ANN presented framework realization: ! 2 ANN ASICs with binary neurons and analog synapses ! implementing a recurrent Perceptron model ! controlled by an FPGA (framework controller) ! trained by an evolutionary algorithm ! capabale of scaling mapping to resources desired network topology We propose a framework for hardware artificial neural networks (ANN) that allows to map variable neural network topologies and types to mixed-signal ANN ASICs with simple network models. We present a possible realization which is trained by an evolutionary algorithm.
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