main webpage W Topic Recurrent Neural Network Automation in Construction • Vol 132 Effects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks 2021 Article Open Recurrent Neural Network Open Article Page

Recurrent Neural Network

Computational model used in machine learning A recurrent neural network ( RNN ) is one of the two broad types of artificial neural network, characterized by direction of the flow of information between its layers. In contrast to the uni-directional feedforward neural network, it is a bi-directional artificial neural network, meaning that it allows the output from some nodes to affect subsequent input to the same nodes. Their ability to use internal state (memory) to process arbitrary sequences of inputs makes them applicable to tasks such as unsegmented, connected handwriting recognition or speech recognition. Critical Symbolic Virtual Narrative Open Recurrent Neural Network Open Article Page

Exploring foci of: Automation in Construction • Vol 132 Effects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks 2021 Open Article Page

Click Recurrent Neural Network Vs: Convolutional Neural Network Computer Science Deep Learning Artificial Intelligence Facial Expression Machine Learning Engineering Mechanical Engineering Open Article Page

Explore Recurrent Neural Network W Topic Recurrent Neural Network Automation in Construction • Vol 132 Effects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks 2021 Article Critical Symbolic Virtual Narrative Open Recurrent Neural Network Open Article Page