Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Neural Circuits01:25

Neural Circuits

1.1K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.1K
Bode Plots01:26

Bode Plots

543
Bode plots are graphical tools that use logarithmic scales for frequency on the x-axis and gain in decibels on the y-axis. This logarithmic method allows a wide range of frequencies to be compactly displayed, enabling the analysis of component effects on circuit behavior across a broad frequency spectrum.
A network function represents the ratio of a system's output to its input, with the magnitude and phase angle derived from the complex network function. The decibel logarithmic gain is...
543

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

WLR: Well-conditioned linear reconstruction for retraining-free pruning of LLMs.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

OOPS: Outlier-aware and quadratic programming based structured pruning for large language models.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

RGP: Neural Network Pruning Through Regular Graph With Edges Swapping.

IEEE transactions on neural networks and learning systems·2023
Same author

Systematic identification of C. elegans miRISC proteins, miRNAs, and mRNA targets by their interactions with GW182 proteins AIN-1 and AIN-2.

Molecular cell·2007
Same author

HDAC inhibitor PCI-24781 decreases RAD51 expression and inhibits homologous recombination.

Proceedings of the National Academy of Sciences of the United States of America·2007
Same author

[Distribution and differentiation of marrow mesenchymal cells in tumor tissue: experimental with rabbits].

Zhonghua yi xue za zhi·2007
Same journal

Granular Ball-Based Noise-Resistant Fuzzy Multineighborhood Feature Selection via Label Enhancement and Feature Graph.

IEEE transactions on neural networks and learning systems·2026
Same journal

Fighting Evolving Spam With ARTMAP Models: A Noise-Resilient Online Detection Framework.

IEEE transactions on neural networks and learning systems·2026
Same journal

HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems.

IEEE transactions on neural networks and learning systems·2026
Same journal

Negation of Basic Belief Assignment in Multisource Information Fusion on Dempster-Shafer Theory With Applications in Pattern Classification.

IEEE transactions on neural networks and learning systems·2026
Same journal

Intervention Feasible Region and Driver Risk Capacity Aware Human-Machine Collaborative Safe Trajectory Planning.

IEEE transactions on neural networks and learning systems·2026
Same journal

A Unified Differential Denoising Learning Framework With a Pre-Trained Model and Fuzzy Graph Networks for Drug-Drug Interaction Prediction.

IEEE transactions on neural networks and learning systems·2026
查看所有相关文章

相关实验视频

Updated: Jun 9, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

473

超标双元神经网络 超标双元神经网络

Jun Chen, Jingyang Xiang, Tianxin Huang

    IEEE transactions on neural networks and learning systems
    |October 31, 2024
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了用于高效移动部署的超标二元神经网络 (HBNN). 在图像分类任务中,HBNN优化了使用超标几何学的二进制神经网络,优于现有的方法.

    更多相关视频

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
    09:47

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

    Published on: December 15, 2023

    963
    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
    11:18

    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

    Published on: March 2, 2015

    10.3K

    相关实验视频

    Last Updated: Jun 9, 2025

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    473
    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
    09:47

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

    Published on: December 15, 2023

    963
    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
    11:18

    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

    Published on: March 2, 2015

    10.3K

    科学领域:

    • 计算机科学 计算机科学
    • 人工智能的人工智能
    • 机器学习 机器学习

    背景情况:

    • 二元神经网络 (BNN) 将权重和激活量化为1位,以实现高效的移动部署.
    • BNNs通常被优化为二进制空间中的受约束问题,与在连续空间中优化的一般神经网络不同.

    研究的目的:

    • 引入超标双元神经网络 (HBNN) 来优化受约束的BNN问题.
    • 利用超标几何学来将受约束的优化转化为不受约束的问题.

    主要方法:

    • 使用里曼的指数图,将超标空间中的受约束优化转换为欧几里德空间中的不受约束的问题.
    • 提出指数参数化集群 (EPC) 方法以增加重量翻转概率并最大限度地获得信息.

    主要成果:

    • 与最先进的方法相比,HBNN显示出更高的性能.
    • 在使用VGGsmall,ResNet18和ResNet34模型对CIFAR10,CIFAR100和ImageNet数据集进行的实验.

    结论:

    • HBNN提供了一种通过整合超标几何学来优化BNN的新方法.
    • 提出的方法显示了图像分类任务的性能显著改善.