Results 21 to 30 of about 34,984 (114)
A review on Black-Scholes model in pricing warrants in Bursa Malaysia [PDF]
, 2016 This paper studies the accuracy of the Black-Scholes (BS) model and the dilution-adjusted Black-Scholes (DABS) model to pricing some warrants traded in the Malaysian market.
Abdul Rahim, Norhuda +2 more
core +1 more source
Fuzzy Inference System Mamdani dan the Mean Absolute Percentage Error (MAPE) untuk Prediksi Permintaan Dompet Pulsa pada XL Axiata Depok [PDF]
Jurnal Informatika Universitas Pamulang, 2017 Kemajuan perkembangan teknologi informasi pada era globalisasi sekarang ini sangat pesat; hal ini menuntut setiap perusahaan untuk dapat saling bersaing dalam dunia bisnis yang dinamis dan penuh persaingan. Pada proses manjaemen permintaan dompet pulsa di XL Axiata cabang Depok memerlukan peramalan yang cukup matang agar dompet pulsa yang diminta ...
openaire +2 more sources
Forecast Error Calculation with Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE)
JINAV: Journal of Information and Visualization, 2020 Calculation errors in forecasting a data are very important from a forecasting process. The high level of forecasting accuracy will affect the level of confidence in forecasting decision making.
openaire +1 more source
Malaysia tourism demand forecasting using box-jenkins approach [PDF]
, 2018 Tourism industry in Malaysia is crucial and has contributes a huge part in Malaysia’s economic growth. The capability of forecasting field in tourism industry can assist people who work in tourism-related-business to make a correct judgment and plan ...
Abd Latif, Amirah +6 more
core +1 more source
IEEE Access, 2019 Intelligent transportation system (ITS) is a cutting-edge traffic solution employing state-of-the-art information and communication technologies. Optimized bus-scheduling, being an integral part of ITS, ensures safety, efficiency, traffic congestion ...
Moubeen Farooq Khan +3 more
doaj +1 more source
A new hybrid of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income [PDF]
, 2018 Analysis by human perception could not be solved using traditional method since uncertainty within the data have to be dealt with first. Thus, fuzzy structure system is considered.
Ahmad Basri, Nur Ain Zafirah +6 more
core +1 more source
Electricity Consumption Prediction in Oil and Gas Equipment Service and Maintenance Workshops Using RNN LSTM [PDF]
E3S Web of Conferences, 2023 This research offers a Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) model for forecasting power usage in a facility that provides oil and gas equipment service and maintenance.
Rafael Benedict +2 more
doaj +1 more source
Surveying the best volatility measurements to forecast stock market [PDF]
, 2017 This paper investigates methods to forecast future adjusted price of S&P 500 by using geometric Brownian motion (GBM) and geometric fractional Brownian motion (GFBM) for better investment decision.
Alhagyan, Mohammed +2 more
core +1 more source
Case Studies in Thermal Engineering, 2023 Due to the complexity and changeable of lithium-ion batteries, we propose a multi-variable and multi-step Temporal neural network to cover this task. Specially, a novel multi-step training strategy is applied to deal with long time sequences, and multi ...
Yufeng Huang, Jian Sun, Lei Xu
doaj +1 more source
E3S Web of Conferences, 2017 The paper analyses the use of four data mining methods (Support Vector Machines. Cascade Neural Networks. Random Forests and Boosted Trees) to predict sorption on activated carbons.
Dąbek Lidia +2 more
doaj +1 more source