Similar Search Results

Box office forecasting using machine learning algorithms based on SNS data

Kim, Taegu; Hong, Jungsik; Kang, Pilsung - In: International journal of forecasting 31 (2015) 2, pp. 364-390

Persistent link: https://www.econbiz.de/10011474110

Sustainability of advance machine learning algorithms in manufacturing

Nain, Somvir Singh - In: Sustainable procurement in supply chain operations, (pp. 465-482). 2019

Persistent link: https://www.econbiz.de/10012035861

Stylized algorithmic trading : satisfying the predictive near-term demand of liquidity

Sun, Edward W.; Kruse, Timm; Chen, Yi-Ting - In: Decision making and risk/return optimization in …, (pp. 315-347). 2019

Persistent link: https://www.econbiz.de/10012134866

Machine learning core inflation

Acosta, Marco A. - In: Economics letters 169 (2018), pp. 47-50

Persistent link: https://www.econbiz.de/10012019523

Collusion by algorithm : does better demand prediction facilitate coordination between sellers?

Miklós-Thal, Jeanine; Tucker, Catherine - In: Management science : journal of the Institute for … 65 (2019) 4, pp. 1552-1561

Persistent link: https://www.econbiz.de/10012022643

Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm

Samadianfard, Saeed; Hashemi, Sajjad; Kargar, Katayoun; … - In: Energy reports 6 (2020), pp. 1147-1159

) with the Whale Optimization Algorithm (WOA) was used to build new method (MLP-WOA) with a limited set of data (2004 … at each target station was compared with the MLP optimized by the Genetic Algorithm (MLP-GA) and standalone MLP without … models. It was concluded that the WOA optimization algorithm could improve the prediction accuracy of the MLP model and may …

Persistent link: https://www.econbiz.de/10012221074

How is a machine learning algorithm now-casting stock returns? : a test for ASELSAN

Sorhun, Engin - In: Blockchain economics and financial market innovation : …, (pp. 531-548). 2019

learning process (splitting data, choosing the best performing algorithm among the alternatives, and testing this algorithm for …

Persistent link: https://www.econbiz.de/10012150061

An algorithmic crystal ball : forecasts-based on machine learning

Jung, Jin-Kyu; Patnam, Manasa; Ter-Martirosyan, Anna - 2018

Forecasting macroeconomic variables is key to developing a view on a country's economic outlook. Most traditional forecasting models rely on fitting data to a pre-specified relationship between input and output variables, thereby assuming a specific functional and stochastic process underlying...

Persistent link: https://www.econbiz.de/10011932417

Predict stock prices using supervised learning algorithms and particle swarm optimization algorithm

Bazrkar, Mohammad Javad; Hosseini, Soodeh - In: Computational economics 62 (2023) 1, pp. 165-186

Persistent link: https://www.econbiz.de/10014327292

A Smart Survey on Various Machine Learning Algorithms and It’s Real Time Applications

B. Rathod, Dushyantsinh; Prajapati, Ramesh - 2023

In today’s world, most of the data is generated through computer applications. These applications can be used to predict and analyze the future. To achieve this phenomenon, we train the machines to read data and accordingly predict the future which is called as Machine Learning. Machine...

Persistent link: https://www.econbiz.de/10014349857