Results 161 to 170 of about 9,085,112 (391)
Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Postoperative delirium, a common neurocognitive complication after surgery and anesthesia, requires early detection for potential intervention. Herein, we constructed a multidimensional postoperative delirium risk‐prediction model incorporating multiple demographic parameters and blood biomarkers to enhance prediction accuracy ...
Hengjun Wan +7 more
wiley +1 more source
Jixie qiangdu, 2020 In order to solve the problem that temperature drift of silicon piezoresistive pressure sensor affects the accuracy of engineering measurement,proposed a temperature compensation strategy for BP neural network based on glowworm swarm optimization.
WANG Hui, FU Peng, SONG YuNing
doaj
Advances in Mechanical Engineering, 2016 Probabilistic neural network has successfully solved all kinds of engineering problems in various fields since it is proposed. In probabilistic neural network, Spread has great influence on its performance, and probabilistic neural network will generate ...
Jiao-Hong Yi, Jian Wang, Gai-Ge Wang
doaj +1 more source
Nonlinear Systems Identification Using Deep Dynamic Neural Networks [PDF]
arXiv, 2016 Neural networks are known to be effective function approximators. Recently, deep neural networks have proven to be very effective in pattern recognition, classification tasks and human-level control to model highly nonlinear realworld systems. This paper investigates the effectiveness of deep neural networks in the modeling of dynamical systems with ...
arxiv
From basic network principles to neural architecture: emergence of orientation columns. [PDF]
, 1986 R Linsker
openalex +1 more source
Abnormal Synchronization Between Cortical Delta Power and Ripples in Hippocampal Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Discriminating between epileptogenic and physiological ripples in the hippocampus is important for identifying epileptogenic (EP) zones; however, distinguishing these ripples on the basis of their waveforms is difficult. We hypothesized that the nocturnal synchronization of hippocampal ripples and cortical delta power could be used ...
Takamitsu Iwata +10 more
wiley +1 more source
Neural network based image and video coding technologies
Dianxin kexue, 2019 Deep neural networks have achieved tremendous success in artificial intelligence,which makes the broad and in-depth research of neural network resurge in recent years.Recently,the neural network based image and video coding has become one of the front ...
Chuanmin JIA +3 more
doaj +2 more sources
Memory Dynamics in Asynchronous Neural Networks [PDF]
, 1987 Ichiro Tsuda +2 more
openalex +1 more source
Subthalamic Nucleus Oscillatory Characteristics in Meige, Cervical Dystonia and Generalized Dystonia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Deep brain stimulation offers a unique opportunity to record neural activity of the basal ganglia. While much work in dystonia has focused on the globus pallidus internus, expanding research to investigate subthalamic nucleus (STN) activity in various dystonia types is critical to provide a comprehensive understanding of dystonia ...
Zhu Guan‐Yu +14 more
wiley +1 more source
Comparison Between Kanerva's SDM and Hopfield‐type Neural Networks [PDF]
, 1988 James D. Keeler
openalex +1 more source