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et al. Redundancy and analog slicing for precise in-memory machine learning—part I: programming techniques. In: IEEE Transactions on Electron Devices Vol. 68 4373–4378 (IEEE, 2021). Gokmen, T., Rasch, M. J. & Haensch, W. The marriage of training and inference for scaled deep learning...
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4.2. Experimental SWeteupdivided the data set into a training set and a test set at a ratio of 9:1, which In this recslueadrecdh,dthifefeerxepnetrkiminednstsowf efirsehcobnoduiecst,edsuucshinagstbhreoPcyadtoerccharfpramweitwhoorbkvuionudserpatterns Ubuntu 20.04p,uafnfedr tfhisehcwomithp...
Aside the filament material, the internal settings of 3D-printing machine such as build speed, resolution, and heat transfer play their roles in the quality of a printed object. Sensors 2018, 18, 3049; doi:10.3390/s18093049 www.mdpi.com/journal/sensors Sensors 2018, 18, 3049 2 of 12 ...
Mechanical properties test (UTM4304, SUNS, Shenzhen, China): The tensile rate of 10 mm/min was tested by a universal testing machine at room temperature to carry out five tests and the average was calculated. 4. Conclusions In this work, melt compounding was effectively utilized to create HP...
Based on previous work, in the experiments, the backpropagation algorithm applying gradient descent and adaptive learning rate is utilized. The neural networks manage interval type-2 fuzzy number weights in the hidden and output layer [53,54]. In the hidden and output layer of the network we ...
A machine mixer (Wuxi Chiba Mixing Equipment Co., Ltd. in China, 2014) was utilized to mix the mixture thoroughly, with the capacity bucket rotating at certain speeds of 102/204/388 r/min. The untreated soil was weighed to get the mass and firstly placed into the mixer, then the ...
To determine the compressive strength of samples, a testing machine must be used. It must be thoroughly cleaned with a speed of 0.5 N/cm2/s. The maximum force on the sample must be noted and divided by the sample surface to obtain compressive strength according to Newton per square ...