A comparative study of ensemble back-propagation neural network for the regression problems

Kajornrit, Jesada; Chaipornkaew, Piyanuch

doi:10.1109/incit.2017.8257853

“…This notion of 'two heads are better than one', stems from the fact that varying information can be combined to produce better results. Thus, to increase performance further from a single neural network, an ensemble approach is proposed in order to combine the different deep neural network models [12]. The main concept of the ensemble system, is combining different predictive outputs from different models.…”

Section: Challenges and The Proposed Approachmentioning

confidence: 99%

Deep Neural Network Approach for Sentiment Analysis of Tweets Related to Sports Concussion

Cruz¹

2023

Preprint

0

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Concussion and Traumatic brain injuries (TBI) are serious injuries that impair the normal functionality of a person’s brain. Symptoms can include confusion, disorientation, loss of consciousness, memory lost, and in more sever situations fatality. It is reported that 39% of children (ages 10-18 years old) who visit the hospital due to a sports-related head injury were diagnosed with concussion and 24% with the possible concussion [1]. In order to bring awareness about the seriousness of the TBI to the attention of the policy makers, a neural network based sentiment analysis ensemble system that automates the process of gathering the opinion of the general public is designed. A preprocessing pipeline is proposed that embeds various word-level features into a single concatenated vector. Input vectors are processed by varying Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) Networks. The proposed ensemble system achieves an evaluation score of 62.71% based on its precision and recall, and compares well with other state-of-the art systems.

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“…This notion of 'two heads are better than one', stems from the fact that varying information can be combined to produce better results. Thus, to increase performance further from a single neural network, an ensemble approach is proposed in order to combine the different deep neural network models [12]. The main concept of the ensemble system, is combining different predictive outputs from different models.…”

Section: Challenges and The Proposed Approachmentioning

confidence: 99%

Deep Neural Network Approach for Sentiment Analysis of Tweets Related to Sports Concussion

Cruz¹

2023

Preprint

0

View full text Add to dashboard Cite

Concussion and Traumatic brain injuries (TBI) are serious injuries that impair the normal functionality of a person’s brain. Symptoms can include confusion, disorientation, loss of consciousness, memory lost, and in more sever situations fatality. It is reported that 39% of children (ages 10-18 years old) who visit the hospital due to a sports-related head injury were diagnosed with concussion and 24% with the possible concussion [1]. In order to bring awareness about the seriousness of the TBI to the attention of the policy makers, a neural network based sentiment analysis ensemble system that automates the process of gathering the opinion of the general public is designed. A preprocessing pipeline is proposed that embeds various word-level features into a single concatenated vector. Input vectors are processed by varying Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) Networks. The proposed ensemble system achieves an evaluation score of 62.71% based on its precision and recall, and compares well with other state-of-the art systems.

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Analysis of Stock Market Value Prediction using Simple Novel Long Short Term Memory Algorithm in Comparison with Back Propagation Algorithm for Increased Accuracy Rate

Reddy

¹

,

Jaisharma

²

2022

2022 5th International Conference on Contemporary Computing and Informatics (IC3I)

2

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A comparative study of ensemble back-propagation neural network for the regression problems

Cited by 5 publications

References 15 publications

Deep Neural Network Approach for Sentiment Analysis of Tweets Related to Sports Concussion

Deep Neural Network Approach for Sentiment Analysis of Tweets Related to Sports Concussion

Deep Neural Network Approach for Sentiment Analysis of Tweets Related to Sports Concussion

Analysis of Stock Market Value Prediction using Simple Novel Long Short Term Memory Algorithm in Comparison with Back Propagation Algorithm for Increased Accuracy Rate

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