… analysis (PCA), linear discriminant analysis (LDA), and neural network (NN) pattern
recognition/machine learning algorithms are compared in this review. Among them, the LDA …

… In this paper, a database of wallpaper textures with different styles is collected. Based on
computer vision and machine learning methods, a wallpaper texture style learning and scene …

… recommendation methods in … methods in music and video fields based on deep learning,
and finally summarizes and prospects the recommendation methods based on deep learning. …

… method and tested the method in an urban agriculture region with complex planting
structure through several steps: first, digitalizing field boundary from QuickBird image; second, …

… prediction (machine learning algorithm) is a widely used data mining technique in many
areas of research and applications. Classification uses a supervised learning method where the …

… For this reason, the CPSP hydrological model is selected as the regional water balance
analysis tool. The real-time agricultural water-use monitoring data and RS land use are selected …

… up your vocabulary, learn the sentence structure, appreciate the writing styles of the writers,
understand the grammatical formats, or even familiarize yourself with the use of punctuation. …

… 在本研究中,我们将使用基于CNN 的深度学习网络(Deep Learning Networks, DLN)即深度卷
积神经 网络(DCNN)对股票市场预测进行分类.卷积神经网络多用于图像的各种处理任务,如目标…

… machine learning method is a strategy for finding realistic solutions to this problem. There
are numerous machine learning methods … the agricultural environment that machine learning …

… agricultural security and food production. With the development of hyperspectral imaging and
deep learning technology, … A Convolutional Neural Network (CNN), the most representative …