Penerapan Long Short Term Memory Pada Data Time Series Untuk Memprediksi Penjualan Produk Pt. Metiska Farma

L Wiranda, M Sadikin - Jurnal Nasional Pendidikan Teknik …, 2019 - ejournal.undiksha.ac.id
Persaingan penjualan produk antar industri farmasi di Indonesia semakin ketat. Keadaan
dan permintaan pasar juga menjadi semakin kompleks dan sulit diprediksi. Oleh karena itu …

Forecasting of overloading volumes in transport systems based on the fuzzy-neural model

N Shramenko, D Muzylyov - Design, Simulation, Manufacturing: The …, 2019 - Springer
The article deals with the expediency of evolutionary models application for obtaining the
forecast carried out with the minimal error. In research the analysis of modern approaches to …

[PDF][PDF] Penerapan Extreme Learning Machine (ELM) untuk Peramalan Laju Inflasi di Indonesia

FIN INDONESIA - Jurnal Teknologi Informasi dan Ilmu Komputer …, 2019 - researchgate.net
Inflasi merupakan salah satu indikator untuk mengukur perkembangan suatu bangsa.
Apabila inflasi tidak terkontrol akan memberikan banyak dampak negative terhadap …

[PDF][PDF] ANN based method for improving gold price forecasting accuracy through modified gradient descent methods

S Verma, GT Thampi, M Rao - IAES …, 2020 - download.garuda.kemdikbud.go.id
Forecast of prices of financial assets including gold is of considerable importance for
planning the economy. For centuries, people have been holding gold for many important …

Rain prediction using fuzzy rule based system in North-West Malaysia

NZM Safar, AA Ramli, H Mahdin… - Indonesian Journal …, 2019 - researchportal.port.ac.uk
The warm and humid condition is the characteristic of Malaysia tropical climate. Prediction of
rain occurrences is important for the daily operations and decisions for the country that rely …

Management decision-making for logistics systems using a fuzzy-neural simulation

D Muzylyov, N Shramenko, V Ivanov - Advances in Industrial Internet of …, 2021 - Springer
The chapter presents a management decision-making approach of logistics aspects in port
during interactions between two kinds of transport. The described methodology is developed …

[PDF][PDF] System for prediction of non stationary time series based on the wavelet radial bases function neural network model

H Kusdarwati, S Handoyo - International Journal of Electrical and …, 2018 - core.ac.uk
This paper proposes and examines the performance of a hybrid model called the wavelet
radial bases function neural networks (WRBFNN). The model will be compared its …

Forecasting of rain in chennai using fuzzy inference system

R Adnan, R Kumaravel - AIP Conference Proceedings, 2023 - pubs.aip.org
Weather is a dynamic phenomenon that changes regularly. The weather affects every area
of human life, including business and entertainment. Our environment is constantly …

[PDF][PDF] Extreme learning machine and particle swarm optimization for inflation forecasting

AN Alfiyatin, AM Rizki, WF Mahmudy… - International Journal of …, 2019 - researchgate.net
Inflation is one indicator to measure the development of a nation. If inflation is not controlled,
it will have a lot of negative impacts on people in a country. There are many ways to control …

[HTML][HTML] CO and PM10 Prediction Model based on Air Quality Index Considering Meteorological Factors in DKI Jakarta using LSTM

EMC Wattimena, A Annisa… - Scientific Journal of …, 2022 - journal.unnes.ac.id
Purpose: This study aimed to make CO and PM10 prediction models in DKI Jakarta using
Long Short-Term Memory (LSTM) with and without meteorological variables, consisting of …