| Summary: | 碩士 === 國立暨南國際大學 === 電機工程學系 === 99 === This thesis aims on designing a simulator for Dual-ALU processor and its implementation of fuzzy neural networks (FNN). The simulator can simulate the existing Dual-ALU processor of which instruction set including Data-transfer, Boolean, Add/Sub, Mac/Div, Dual-ALU, Shift/Rotate, and Control instruction. It can show the address and value of registers and RAM on the screen, making processor operation observable while programming. Therefore, simulation on FNN running on processer verifies simulator performance. While programming, using the parallel calculation capability of Dual-ALU processor, we can efficiently designate the computations to Dual-ALU, speed hardware processing and realize the running of FNN on hardware.
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