The rules are organized based on the type of the integrand and hierarchically arranged in the form of a decision tree. By answering true-or-false questions in the tree, it is easy for a human or computer to determine exactly which of the more than 6600 rules is the right one to apply ...
The crystal structures of all samples were characterized by X-ray diffraction (XRD) (λ = 0.15418 nm). Raman spectra were acquired at 532 nm using a Renishaw InviaPlus micro-Raman spectroscopy system equipped with a 50 mW DPSS laser. The microstructure, morphology, and element distribution ...
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The best hyperparameters for the ANN prediction model are three of hidden layers, five neurons in each layer, and the activation function of Tanh for the neurons. Fig. 11 reveals the parity plot for NCO2, NCH4, DCO2, and DCH4 from the ANN prediction and the GCMC and MD results under...
of the original framework, and since TensorRT could only compute the neural network layers but the user had to bring their own data pipeline, this increased the burden on the user and reduced the likelihood of reproducibility (e.g. different frameworks may have slightly different data pipelines,...
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ℎ𝑡=𝑜𝑡·tanh(𝑐𝑡)ht=ot·tanhct (9) 3.4. Improved Prophet Model The Prophet model is a decomposable time series forecasting model open-sourced by Facebook [45,46]. The model is a whole-loop structure divided into a manual manipulation part and an automated part, which integ...
tan(X: integer | float) -> float tanh(X: integer | float) -> float 数据类型判断函数 is_array(Term: any) -> boolean is_bool(Term: any) -> boolean is_float(Term: any) -> boolean is_int(Term: any) -> boolean is_map(Term: any) -> boolean is_null(Term: any) -> boolean is...
u ( x , t ) = c + 15 19 11 19 ( − 9 tanh ( k ( x − c t − x 0 ) ) + 11 tanh 3 ( k ( x − c t − x 0 ) ) ) (30) Here c , k , and x 0 are constants chosen as in [42]: c = 0.1 , k = 1 2 11 19 , x 0 = − 10 (31) Th...
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