Sigmoid function

In this study, our primary aim is to assess and compare the efficacy of Support Vector Machines (SVM) employing various kernel functions: linear (LIN), polynomial (POL), Radial Basis Function (RBF), and sigmoid (SIG) in predicting the compressive strength of concrete.

14p viengfa 28-10-2024 1 1   Download

Bài giảng "Máy học nâng cao: Logistic regression" cung cấp cho người học các kiến thức: Khái niệm hồi qui logistic (Logistic Regression), mô hình hóa, sigmoid function, logistic regression và bài toán phân loại 2 lớp,... Mời các bạn cùng tham khảo.

27p abcxyz123_08 11-04-2020 50 3   Download

Activation Functions Used in Neural Networks Perspective The choice of nonlinear activation function has a key influence on the complexity and performance of artificial neural networks, note the term neural network will be used interchangeably with the term artificial neural network. The brief introduction to activation functions given in Chapter 3 is therefore extended. Although sigmoidal nonlinear activation functions are the most common choice, there is no strong a priori justification why models based on such functions should be preferred to others....

0p doroxon 12-08-2010 100 14   Download