IEEE

Sigmoid-Function-Based Feedback Linearization Random Selection Control for Cascaded H-Bridge Multilevel Inverters

Abstract: To improve the steady-state and dynamic performance of cascaded H-bridge multilevel inverters (CHBMIs) and achieve power balance, this paper proposes a control method based on the sigmoid ...
IEEE

Sigmoid-Function-Based Feedback Linearization Random Selection Control for Cascaded H-Bridge Multilevel Inverters

Abstract: To improve the steady-state and dynamic performance of cascaded H-bridge multilevel inverters (CHBMIs) and achieve power balance, this article proposes a control method based on the sigmoid ...
Hosted on MSN

20 activation functions in Python for deep neural networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python US watchdog ...
GitHub

Create a base class for sigmoid functions

We might consider having a base function for all sigmoid function, and add a class member that allows to control the vertical offset. We could then implement more models in addition to the Erf (or ...
GitHub

Python NumPy Tutorial – Mastery with NumPy Array library

NumPy is a scientific computing package (library) for python programming language. Numpy is a","powerful Python programming language library to solve numerical problems. What is","the meaning of NumPy ...
Scientific Research Publishing

Chung, F.L., Wang, S.T., Deng, Z.H. and Hu, D.W. (2006) CATSMLP: Towards a robust and interpretable multilayer perceptron with sigmoid activation functions. IEEE Transactions ...

ABSTRACT: The prediction accuracy and generalization of fermentation process modeling on exopolysaccharide (EPS) production from Lactobacillus are often deteriorated by noise existing in the ...