Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward
neural network (SLFN), which converges much faster than traditional methods and yields …

In the era of chemical big data, the high complexity and strong interdependencies present in
the datasets pose considerable challenges when constructing accurate parametric models …

In a two-class classification task, if the number of examples of one class (majority) is much
greater than that of another class (minority), then the classification is said to be class …

The hole circularity, taper angle, and spatter formation area at drilling Ti-6AI-4V alloys by
fiber laser are the basic properties that determine the quality of the product. These properties …

Background Sampling-based motion planning is one of the fundamental methods by which
robots navigate and integrate with the real world (Elbanhawi & Simic, 2014). Motion …

A feedforward neural network with random weights (RW-FFNN) uses a randomized feature
map layer. This randomization enables the optimization problem to be replaced by a …

Статья посвящена повышению эффективности работы пищевого предприятия за счёт
разработки и внедрения автоматизированной системы управления технологическим …

On this paper, the predicted results of the two types of methods will compare. This is very
important because, the error in the determination method will cause the prediction result is …

Введение. Моделирование наплавленным осаждением-наиболее часто используемая
технология 3D-печати в пищевой промышленности. В этой технологии параметры …

Natural language processing and machine learning are used to define and extract human
emotions from unstructured text using a technique called sentiment analysis. Many …