搜索结果: 1-15 共查到“Neural Networks”相关记录242条 . 查询时间(0.093 秒)
Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
Convolutional Neural Networks (CNN) deep learning invasive species orthophoto remote sensing tree species Unmanned Aerial Vehicles (UAV) vegetation succession
2024/1/19
Unmanned Aerial Vehicles (UAV) greatly extended our possibilities to acquire high resolution remote sensing data for assessing the spatial distribution of species composition and vegetation characteri...
Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series
Synthetic Aperture Radar Sentinel-1 forest mapping deforestation monitoring deep learning convolutional neural networks
2023/12/1
The monitoring of land cover and land use patterns is pivotal in the joint effort to fight deforestation in the Amazon and study its relation to climate change effects with respect to anthropogenic ac...
医学部汪天富、雷柏英教授团队在《IEEE Transactions on Neural Networks and Learning Systems》上发表文章（图）
雷柏英教授 生物医学工程 深圳大学医学部
2023/10/23
近期，深圳大学医学部生物医学工程学院汪天富、雷柏英教授团队的研究成果《MHW-GAN: Multi-discriminator Hierarchical Wavelet Generative Adversarial Network for Multi-modal Image Fusion》在顶级期刊IEEE Transactions on Neural Networks and Learning ...
中国科学院半导体研究所高速电路与神经网络实验室刘婧逸博士一篇论文被人工智能顶刊Neural Networks录用（图）
中国科学院 高速电路 神经网络 刘婧逸 人工智能 Neural Networks
2023/11/28
近日，实验室2021级博士研究生刘婧逸的学术论文《SNR: Symbolic Network-based Rectifiable Learning Framework for Symbolic Regression》被人工智能顶级期刊Neural Networks录用。《Neural Networks》是世界上三个最古老的神经建模学会的档案期刊:国际神经网络学会(INNS)、欧洲神经网络学会(EN...
深圳大学医学部汪天富教授团队在《IEEE Transactions on Neural Networks and Learning Systems》上发表系列重要文章（图）
生物医学工程 汪天富教授 深圳大学医学部
2023/10/23
近日，医学部生物医学工程学院汪天富教授团队在人工智能领域顶级国际期刊《IEEE Transactions on Neural Networks and Learning Systems》（中科院大类一区，TOP期刊，IF:14.255）上发表了系列研究成果。
Cornell researchers have developed an optical neural network (ONN) that can filter relevant information from a scene before the visual image is detected by a camera, a method that may make it possible...
In the vast, expansive skies where birds once ruled supreme, a new crop of aviators is taking flight. These pioneers of the air are not living creatures, but rather a product of deliberate innovation:...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Entropy-Dissipation Informed Neural Networks for McKean-Vlasov type PDEs
McKean-Vlasov型 偏微分方程 熵耗散 信息神经网络
2023/4/13
We extend the concept of self-consistency for the Fokker-Planck equation (FPE) [Shen et al., 2022] to the more general McKean-Vlasov equation (MVE). While FPE describes the macroscopic behavior of par...
A method for designing neural networks optimally suited for certain tasks（图）
神经网络 机器学习模型 计算机网络
2023/6/20
Neural networks, a type of machine-learning model, are being used to help humans complete a wide variety of tasks, from predicting if someone’s credit score is high enough to qualify for a loan to dia...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Generalization of Graph Neural Networks and Graph Structural Learning for Robust Representation
图神经网络 泛化 图结构学习 鲁棒表示
2023/4/18
This report consists of two parts associated with graph neural networks: generalization and graph structural learning. We first study the Rademacher complexity of GNNs, as one of independent-algorithm...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Implicit biases of optimization algorithms for neural networks and their effects on generalization
神经网络 优化算法 隐式偏差 泛化的影响
2023/4/26
Modern neural networks are usually over-parameterized—the number of parameters exceeds the number of training data. In this case the loss functions tend to have many (or even infinite) global minima, ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Convergence Thery of Deep Neural Networks: Arbitrary Activation Functions and Pooling
深度神经网络 激活函数 池化
2023/4/28
Deep neural networks, as a powerful system to represent high dimensional complex functions, play a key role in deep learning. Convergence of deep neural networks is a fundamental issue in building the...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Calculation of high-order harmonic generation of atoms and molecules by combining time series prediction and neural networks
时间序列预测 神经网络计算 原子分子 高阶谐波生成
2023/5/9
High-order harmonic generation (HHG) from the interaction of ultra-intense laser pulses with atoms is an important tabletop short-wave coherent light source. Accurate quantum simulations of it present...
Many of us easily recognize emotions expressed in others’ faces. A smile may mean happiness, while a frown may indicate anger. Autistic people often have a more difficult time with this task. It’s unc...
深圳大学医学部汪天富教授在《IEEE Transactions on Neural Networks and Learning Systems》上发表文章（图）
汪天富教授 深圳大学医学部 人工智能
2023/10/25
近日，深圳大学医学部生物医学工程学院汪天富教授团队的研究成果《Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification》在人工智能领域顶级期刊IEEE Transactions on Neural Networks and Learning Systems（2020 IF: 10.451）上发表。该...