Artificial Neural Networks (ANNs) are weighted directed graphs of interconnected neurons
widely employed to model complex problems. However, the selection of the optimal ANN …

Abstract Keberhasilan Algoritma Backpropagation (BP) tergantung pada kualitas data.
Sehingga, normalisasi data merupakan proses yang penting. Akan tetapi, beberapa …

Steel is a metal, and thus, it undergoes corrosion over time. The comprehensive analysis of
the factors influencing corrosion can aid in develo** strategies, such as new ways to avoid …

Recently, the situation in the Japanese fishing industry has become critical, resulting in one
of the most significant food issues in Japan. Aquaculture technology is expected to be a …

Sillago japonica is a popular fish used in Japanese cuisine, and a stable aquaculture
method for growing fish of more than 25 cm in length, which are traded at high prices, may …

This paper presents a design of a data-driven-based neural network internal model control
for a submerged membrane bioreactor (SMBR) with hollow fiber for microfiltration. The …

Using artificial neural network (ANN) to solve the problem of time series water quality
prediction has become increasingly mature. In this paper, through the study of leaky-integral …

Fish, crab, prawns and other seafood are among the animal-derived foods that are regarded
as the safest in contemporary world in terms of enhancing food security. Globally …

Prediction of water quality plays an important role in the management of modern and
intensive crab aquaculture. Water is the basis of human life and economic growth and has a …

Inversion of geophysical data is often challenging and time-consuming, particularly for large
scale surveys. The solution of the inverse problem requires numerous calculations of the …