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VHDL DESIGN AND HARDWARE REALIZATION OF HYBRIDARTIFICIAL INTELLIGENCE ARCHITECTURE | Science Publications

机译:混合人工智能架构的VHDL设计和硬件实现|科学出版物

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> Evolutionary Algorithms (EA) use Genetic Algorithm (GA) in many optimization problems to efficiently compute the function value in less time. In this study the weight optimization of the Artificial Neural Net-work (ANN), using the Back Propagation Network (BPN), is tested and presented with GA. The combined architecture of Neuro-Genetic (Hybrid Artificial Intelligence) approach is proposed and simulated results are provided along with device Utilization, Simulation time, Timing analysis and power analysis by using very high speed integrated circuits Hardware Description Language (HDL).
机译: >进化算法(EA)在许多优化问题中都使用了遗传算法(GA),可以在更短的时间内有效地计算函数值。在这项研究中,使用反向传播网络(BPN)对人工神经网络(ANN)的权重优化进行了测试,并与GA一起展示。提出了神经遗传(混合人工智能)方法的组合架构,并通过使用超高速集成电路硬件描述语言(HDL)提供了仿真结果以及设备利用率,仿真时间,时序分析和功率分析。

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