Comparing MAE and RMSE as Fitness of Genetic Algorithm for Optimizing Echo State Network Hyperparameters with Different Probabilistic Distributions
HV de Araújo, FC Cardoso, VLD de Mattos… - … on Intelligent Data …, 2024 - Springer
This work aims to compare Mean Absolute Error (MAE) and Root Mean Squared Error
(RMSE) as fitness functions in a genetic algorithm used to optimize the hyperparameters of …
(RMSE) as fitness functions in a genetic algorithm used to optimize the hyperparameters of …
Analyzing the Influence of Market Event Correction for Forecasting Stock Prices Using Recurrent Neural Networks
Understanding financial behavior, particularly in the stock market, has become a crucial task
in recent years due to its significant impact on the global economy. One of the areas that …
in recent years due to its significant impact on the global economy. One of the areas that …
Unveiling Stock Market Trends by Deep Learning Insights with Correction Factor and Recurrent Neural Networks
The understanding of financial behavior, especially its application in the stock market, has
become increasingly important in recent years due to its significant impact on the global …
become increasingly important in recent years due to its significant impact on the global …
Check for updates Analyzing the Influence of Market Event Correction for Forecasting Stock Prices Using Recurrent Neural Networks
Understanding financial behavior, particularly in the stock market, has become a crucial task
in recent years due to its significant impact on the global economy. One of the areas that …
in recent years due to its significant impact on the global economy. One of the areas that …