In this paper, a novel modeling and parameter learning method for the Hammerstein–
Wiener model with disturbance is proposed, and the Hammerstein–Wiener model is …

In this paper, modeling and identification of nonlinear dynamic systems using neuro-
fractional Hammerstein model are considered. The proposed model consists of the neural …

This paper proposes an innovative identification approach of nonlinear stochastic systems
using Hammerstein–Wiener (HW) model with output‐error autoregressive (OEA) noise. Two …

Providing the ability of classification to computers has remained at the core of the faculty of
artificial intelligence. Its application has now made inroads towards nearly every walk of life …

A major feature of the manufacturing models in Industry 4.0 is smaller quantities and greater
variety. In other words, each machine tool will produce multiple types of products, but each …

This paper discusses an identification scheme of the Hammerstein-Wiener model using
combined signals. The Hammerstein-Wiener model consists of a linear dynamic block two …

Neural networks are applicable in identification from input-output data. In this report, we
analyze the Hammerstein-Wiener models and identify them. The Hammerstein-Wiener …

Unmanned Aerial Vehicles (UAV) need high mobility in performing military tasks. In this
paper, we summarized the UAVs identification methods based on neural network, which …

This is the 5th paper in our series of papers on hierarchical learning for classification.
Hierarchical learning for classification is an automated method of creating hierarchy list of …

Lanthanum bisa didapatkan dengan proses electrowinning (elektrodeposisi).
Elektrodeposisi merupakan proses pendeposisian logam yang menggunakan arus DC …