Loading...
  • Prediction
  • Wang, L., Buchanan, T.S.: Prediction of Joint Moments Using a Neural Network Model of Muscle Activations from EMG Signals. (springer.com)
  • Hou, Y., Zurada, J.M., Karwowski, W.: Prediction of EMG Signals of Trunk Muscles in Manual Lifting Using a Neural Network Model. (springer.com)
  • We propose a detection methodology by adapting a three-layered, deep learning architecture of (1) recurrent neural network [bi-directional long short-term memory (Bi-LSTM)] for character-level word representation to encode the morphological features of the medical terminology, (2) Bi-LSTM for capturing the contextual information of each word within a sentence, and (3) conditional random fields for the final label prediction by also considering the surrounding words. (springer.com)
  • Fuzzy Logic
  • In the past decades, fuzzy sets and their associated fuzzy logic have supplanted conventional technologies in many scientific applications and engineering systems, especially in control systems, pattern recognition and system identification. (igi-global.com)
  • Theory
  • This proposal is based on the control theory idea for dynamical system identification i.e. we solve the problem of learning and recognizing the pattern which describes the best the behavior of the cost function that represents the environment to obtain traversability cost maps as if we are identifying a dynamical system that is the rough terrain where the robot navigates. (springer.com)
  • weights
  • An important question in neuroevolution is how to gain an advantage from evolving neural network topologies along with weights. (psu.edu)
  • Learning
  • Learning is enhanced within the action network by using a neural network configured to operate according to unsupervised learning techniques based upon a Kohonen Feature Map. (google.com)
  • data
  • Therefore, this new data demonstrates that, during the long-term cultivation of neural progenitors derived from pluripotent stem cells, the duplication of arm 1q provides a massive advantage, resulting in the selection of abnormal cells. (inserm.fr)
  • One key problem in computational neuroscience and neural engineering is the identification and modeling of functional connectivity in the brain using spike train data. (semanticscholar.org)
  • clinical
  • In this work, we adapt an existing neural NER system, NeuroNER, to the particular domain of Spanish clinical case texts, and extend the neural network to be able to take into account additional features apart from the plain text. (genominfo.org)
  • local
  • A Siamese Hierarchical Convolutional Neural Network (SHCNN), which integrates local and more global representations of a message, is first presented to estimate the conversation-level similarity between closely posted messages. (fxpal.com)
  • A new neural network architecture involving either local feedforward global feedforward, and/or local recurrent global feedforward structure is proposed. (semanticscholar.org)
  • means
  • An additional interesting result of this research: it is not one of the chromosomal anomalies identified in the undifferentiated pluripotent stem cells, which means that it did not predate the differentiation of neural progenitors, it appeared afterwards. (inserm.fr)