… Feedback linearization and feedforward neural network control with … of neural network
controllers with error integral inputs[J]. IEEE Transactions on Neural Networks and Learning …

… , and artificial neural network (ANN) models are developing … monitoring system, incorporating
intelligent early warning … : Machine learning, remote sensing-based detection of harmful …

… A deep hybrid learning model to detect unsafe behavior: integrating convolution neural
networks and long short-term memory[J]. Automation in Constructionꎬ 2018ꎬ 86: 118-124. [15] …

… model based on a hybrid processing strategy and an optimized local linear fuzzy neural
network to … functions(such as convolutional long short-term memory networks) and extreme …

… convolution neural networks (CNN), a diarrhea detection and classification model was
constructed to realize the integrated … ] Convolution neural network classification model combined …

… as a sanity check question among five icons to detect whether the … the classifier using a
convolutional neural network (CNN) … We also want to integrate the deep learning models that …

… detection, face alignment and convolutional neural network(… these two models and fine-tune
the integrated model (Section … Therefore, we propose a deep neural networks (DNN) which …

… cow estrus behavior based on convolutional neural network[J]… Lactating sow high-dangerous
body movement recognition … A Dual Attention Unit (DAU) was proposed to flexibly integrate …

… Intuitively know that a significant amount of training time is be… ), but this is a bad way to reduce
dimensionality because we … We train a neural network in the offline phase and predict the …

… Abstract: In order to solve the problems of the existing deep learning models in the
human behavior recognition of infrared images, such as a large number of parameters, slow …