资讯

Scientific Research Publishing14 天

Research on LiDAR Point Cloud Terrain Classification Based on Convolutional Neural Network ()

本文针对无人机LiDAR点云地物分类问题，提出了一种基于改进的卷积神经网络模型，通过对四川某地区采集的点云数据进行人工标注，实现了地面、建筑和植被三种地物的点云分类。利用所设计的CNN模型对人工构建的数据集进行模型训练及测试，并不断对模型参数进行优化，总体分类精度 (OA)可达93.6599%。实验结果表明，本文所设计的改进CNN能够自动学习点云的空间分布特征和形状模式，减少了人工特征设计的工作量 ...
IEEE1月

Recognition of Handwritten Digit using Convolutional Neural Network in ...

In recent times, with the increase of Artificial Neural Network (ANN), deep learning has brought a dramatic twist in the field of machine learning by making it more artificially intelligent. Deep ...
Nature2月

Handwritten Mathematical Expression Recognition - Nature

Handwritten Mathematical Expression Recognition Publication Trend The graph below shows the total number of publications each year in Handwritten Mathematical Expression Recognition.
GitHub9月

MNIST Digit Recognition using Convolutional Neural Network (CNN)

MNIST Digit Recognition using Convolutional Neural Network (CNN) Overview 📖 This project is a beginner-friendly exploration of deep learning concepts through a classic problem: recognizing ...
Frontiers1 年

Real-time execution of SNN models with synaptic plasticity for ...

In addition, we will assess the concept of homeostasis (Ding et al., 2023) and its impact on network behavior. These concepts will be demonstrated by implementing a handwritten digit recognition ...
GitHub2 年

Handwritten Digit Recognition using Convolutional Neural Networks (CNN)

The project uses the famous MNIST dataset, which consists of 60,000 labeled images of handwritten digits for training and 10,000 labeled images for testing. Each image is 28x28 pixels in size and ...