Скачать или смотреть MATLAB Simulink Modeling and Simulation of CNN RNN and Transformer Models

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Title: Integrated Modeling and Simulation of PCM Crossbar Array for Accelerating and Enhancing Accuracy in CNN, RNNT, and Transformer Models using MATLAB Simulink
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Implementation Plan:
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Step1: Initially, we create a Pulse Code Modulation(PCM) Model.

Step2: Next, we implement the CNN, RNNT and Transformer models into the Simulink model.

Step3: Then we connect the previous model with the crossbar array.

Step4: Then we Model the Analog-Digital-Converter Device with the desired accuracy in Simulink.

Step5: We keep track of the trade-offs between power consumption, latency, and area in ADC design.

Step6: At last we Connect all the models(PCM, ADC, CNN/RNNT/Transformer) through appropriate interfaces.

Step7: Then we simulate the PCM system model.

Step8: Finally We plot the graphs based on the performance.
8.1: Throughput
8.2: Energy Consumption
8.3: Signal-to-Noise Ratio (SNR)
8.4: Resource Utilization.

Software Requirements:
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1. Development Tool: Matlab-R2020a/Simulink or Above Version.
2. OS: Windows-10 (64-bit).

Note:-
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1) If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.

2) Please note that this implementation plan does not include any further steps after it is put into implementation.
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#MATLABSimulink
#ModelingandSimulation
#CNNRNN
#TransformerModels
#MATLABModeling
#SimulinkSimulation
#CNNModeling
#RNNModeling
#TransformerSimulation
#MATLABSimulinkModels
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