Results 31 to 40 of about 876,273 (176)
Sutte Indicator: an approach to predict the direction of stock market movements [PDF]
, 2018 The purpose of this research is to apply technical analysis of Sutte Indicator in stock trading which will assist in the investment decision making process i.e. buying or selling shares. This research takes data of "A" on the Indonesia Stock Exchange(IDX
Ahmar, Ansari Saleh
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Applied Sciences, 2022 Organizations engaged in business, regardless of the industry in which they operate, must be able to extract knowledge from the data available to them. Often the volume of customer and supplier data is so large, the use of advanced data mining algorithms
Antonio Panarese +3 more
doaj +1 more source
Using intelligent optimization methods to improve the group method of data handling in time series prediction [PDF]
, 2008 In this paper we show how the performance of the basic algorithm of the Group Method of Data Handling (GMDH) can be improved using Genetic Algorithms (GA) and Particle Swarm Optimization (PSO).
A. Episcopos +7 more
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Results in Control and OptimizationAn error-minimizing estimator is always preferred in model fittings. However, each error-minimizing estimator minimizes error differently. This paper combines four error-minimizing estimators, which are root mean-squared error, mean absolute error, root ...
Razik Ridzuan Mohd Tajuddin
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Using the Mean Absolute Percentage Error for Regression Models
, 2015 We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under the MAPE is equivalent to doing weighted Mean Absolute Error (MAE) regression.
de Myttenaere, Arnaud +3 more
openaire +3 more sources
An improved method for estimating dissolved oxygen in crab ponds based on Long Short-Term Memory [PDF]
智慧农业, 2019 Dissolved oxygen (DO) is vital to aquaculture industry and affects the yield of aquaculture. Low DO in water can lead to death of crabs, therefore, it is important to measure DO accurately.
Zhu Nanyang, Wu Hao, Yin Daheng, Wang Zhiqiang, Jiang Yongnian, Guo Ya
doaj +1 more source
Weighted Moving Average of Forecasting Method for Predicting Bitcoin Share Price using High Frequency Data: A Statistical Method in Financial Cryptocurrency Technology [PDF]
, 2018 Bitcoin is a type of cryptocurrency that implemented decentralized digital currency method. The transaction is monitored and validated by peer-to peer system using hash programming.
Bakar, N. A. (Nashirah) +1 more
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Evaluation of load forecasting using different models
Measurement: EnergyThis paper addresses a new prediction of load technique that joins the adaptability of RNNs with the capabilities of temporal modelling of Kolmogorov–Arnold Recurrent with good accuracy, because in energy management, load forecasting is essential since ...
Saroj Kumar Panda, Bishwajit Dey
doaj +1 more source
Empirical risk minimization is consistent with the mean absolute percentage error
, 2015 We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under the MAPE is equivalent to doing weighted Mean Absolute Error (MAE) regression.
de Myttenaere, Arnaud +2 more
openaire +3 more sources
Vertical wind speed extrapolation using statistical approaches [PDF]
FME TransactionsThe wind power industry has experienced a significant increase and popularity in recent times, and the latest statistics indicate that this sector is still thriving.
Nuha Hilal H. +4 more
doaj +1 more source