A Stock Prediction Model Based on DCNN

no code implementations • 7 Sep 2020 • Qiao Zhou, Ningning Liu

The prediction of a stock price has always been a challenging issue, as its volatility can be affected by many factors such as national policies, company financial reports, industry performance, and investor sentiment etc..

Classification General Classification +1

Using a one-dimensional convolutional neural network with a conditional generative adversarial network to classify plant electrical signals

no code implementations • Computers and Electronics in Agriculture 2020 • Xiao-Huang Qin, Zi-Yang Wang, Jie-Peng Yao, Qiao Zhou, Peng-Fei Zhao, Zhong-Yi Wang, Lan Huang

This paper proposes a model, based on a one-dimensional convolutional neural network (1D-CNN) with a conditional generative adversarial network (CGAN), which can quickly and effectively identify the salt tolerance of the seedlings using plant electrical signals at the early seedling stage.

Data Augmentation Generative Adversarial Network