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A hybrid neural network is proposed and implemented. The proposed network is a linear hierarchical network which consists of two subnetworks. The first subnetwork is based on Kohonen Self-Organizing Map. The second subnetwork is based on Learning Vector Quantization. The hybrid neural network is tested and used for Arabic phoneme recognizer.
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Compared with conventional methods of fault diagnosis for power transformers, which have defects such as imperfect encoding and too absolute encoding boundaries, this paper systematically discusses various intelligent approaches applied in fault ...
Lefeng Cheng, Tao Yu
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Hybrid Heat Pump for Micro Heat Network [PDF]
Achieving nearly zero carbon heating continues to be identified by UK government analysis as an important feature of any lowest cost pathway to reducing greenhouse gas emissions.
Stewart, M. +5 more
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Topology monitoring implementation of network management system in TWAREN hybrid network [PDF]
TWAREN (TaiWan Advanced Research and Education Network)is a hybrid network composed of several types of networkservices including Layer1 (Light-path), Layer2 (VLAN, MPLSVPNand VPLS-VPN), Layer3 (research networks peering andtransit) and Layer7 (SSL VPN).
Hsieh, Shin-Ruey; National Center for High-Performance Computing +2 more
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Power conversion efficiency (PCE) of bulk heterojunction (BHJ) organic solar cells has reached above ∼10%. These BHJ cells have potential for flexible thin films at low processing temperatures using roll to roll printing on flexible substrates.
Farman Ali +3 more
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A Super-Resolution Algorithm Based on Hybrid Network for Multi-Channel Remote Sensing Images
In recent years, the development of super-resolution (SR) algorithms based on convolutional neural networks has become an important topic in enhancing the resolution of multi-channel remote sensing images.
Zhen Li +4 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Manxia Liu +3 more
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Modeling nonadiabatic dynamics in complex molecular or condensed-phase systems has been challenging especially for the long-time dynamics. In this work, we propose a time series machine learning scheme based on the hybrid convolutional neural network ...
Jiebo, Li +3 more
core +1 more source
A CNN-Transformer Hybrid Model Based on CSWin Transformer for UAV Image Object Detection
The object detection of unmanned aerial vehicle (UAV) images has widespread applications in numerous fields; however, the complex background, diverse scales, and uneven distribution of objects in UAV images make object detection a challenging task.
Wanjie Lu +6 more
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Bandwidth Allocation With Utility Maximization in the Hybrid Segment Routing Network
Segment routing (SR) is a new network paradigm to optimize network performance. Through leveraging source routing, SR is able to achieve more fine-grained control of data flow in the SR domain.
Pei Zhang +4 more
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