Poly(3,4‐ethylenedioxythiophene)‐Based Neural Interfaces for Recording and Stimulation: Fundamental Aspects and In Vivo Applications
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Science"
DOI: 10.1002/advs.202104701
Abstract: Next‐generation neural interfaces for bidirectional communication with the central nervous system aim to achieve the intimate integration with the neural tissue with minimal neuroinflammatory response, high spatio‐temporal resolution, very high sensitivity, and readout stability. The… read more here.
Keywords: neural interfaces; based neural; recording stimulation; stimulation ... See more keywords
Enhanced quantum-based neural network learning and its application to signature verification
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-017-2954-3
Abstract: In this paper, an enhanced quantum-based neural network learning algorithm (EQNN-S) which constructs a neural network architecture using the quantum computing concept is proposed for signature verification. The quantum computing concept is used to decide… read more here.
Keywords: quantum based; neural network; based neural; enhanced quantum ... See more keywords
BiPhase adaptive learning-based neural network model for cloud datacenter workload forecasting
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04808-9
Abstract: Cloud computing promises elasticity, flexibility and cost-effectiveness to satisfy service level agreement conditions. The cloud service providers should plan and provision the computing resources rapidly to ensure the availability of infrastructure to match the demands… read more here.
Keywords: workload; model; neural network; network model ... See more keywords
Intelligent traffic monitoring and traffic diagnosis analysis based on neural network algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-04899-3
Abstract: Traffic sign recognition and lane detection play an important role in traffic flow planning, avoiding traffic accidents, and alleviating traffic chaos. At present, the traffic intelligent recognition rate still needs to be improved. In view… read more here.
Keywords: traffic; system; network algorithm; neural network ... See more keywords
VR Design of Public Facilities in Historical Blocks Based on BP Neural Network
Sign Up to like & getrecommendations! Published in 2020 at "Neural Processing Letters"
DOI: 10.1007/s11063-020-10207-w
Abstract: In view of China’s economy achieves rapid development, technology and science change with each passing day and gradually integrate into our life. Accustomed to the intelligent age, higher requirements caused by the design of public… read more here.
Keywords: neural network; design public; facilities historical; public facilities ... See more keywords
Synchronization criteria for multiple memristor-based neural networks with time delay and inertial term
Sign Up to like & getrecommendations! Published in 2018 at "Science China Technological Sciences"
DOI: 10.1007/s11431-017-9189-3
Abstract: This present work uses different methods to synchronize the inertial memristor systems with linear coupling. Firstly, the math- ematical model of inertial memristor-based neural networks (IMNNs) with time delay is proposed, where the coupling matrix… read more here.
Keywords: neural networks; memristor based; memristor; synchronization ... See more keywords
A Hybrid Modeling Method Based on Neural Networks and Its Application to Microwave Filter Tuning
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.117
Abstract: Abstract In performance tuning of many electromechanical devices, well-trained operators are in great demand. However, manual tuning is costly and time-consuming, and thus do not conform to the trend of smart manufacturing. Microwave filters are… read more here.
Keywords: method based; based neural; neural networks; modeling method ... See more keywords
On the periodic dynamics of memristor-based neural networks with leakage and time-varying delays
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.029
Abstract: In this paper, the periodic dynamics have been studied for a general kind of memristor-based neural networks with leakage and time-varying delays. Some new sufficient conditions have been derived ensuring that the existence, uniqueness and… read more here.
Keywords: neural networks; memristor based; networks leakage; leakage time ... See more keywords
Stability analysis for quaternion-valued inertial memristor-based neural networks with time delays
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.03.106
Abstract: Abstract Quaternion-valued inertial memristor-based neural networks with time-varying delays are found to be effective in demonstrating complex dynamic behaviors. Considering the stability of the periodic solution for a novel neural network, we construct a class… read more here.
Keywords: memristor based; based neural; neural networks; inertial memristor ... See more keywords
Trajectory Planning and the Target Search by the Mobile Robot in an Environment Using a Behavior-Based Neural Network Approach
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DOI: 10.1017/s0263574719001668
Abstract: SUMMARY Navigation and path analysis in a cluttered environment is a challenging task over the last few decades. In this paper, a behavior-based neural network (BNN) and reactive control architecture have been presented for navigation… read more here.
Keywords: neural network; based neural; behavior based; mobile robot ... See more keywords
Memristor-based neural networks: a bridge from device to artificial intelligence.
Sign Up to like & getrecommendations! Published in 2023 at "Nanoscale horizons"
DOI: 10.1039/d2nh00536k
Abstract: Since the beginning of the 21st century, there is no doubt that the importance of artificial intelligence has been highlighted in many fields, among which the memristor-based artificial neural network technology is expected to break… read more here.
Keywords: artificial intelligence; memristor based; neural networks; based neural ... See more keywords