(随机森林)对8个特征属性进行特征提取,然后采用 PCA(主成分分析法)实现对影响猪肉批发价格变化因素的降维,特征优化,最后利用对猪肉批发价格累积贡献率超过88%的1个主成分,输入到 CNN-LSTM网络模型实现对猪肉批发价格的有效预测.实验表明:与未经特征提取并优化传统模型和浅层预测模型相比CNN-LSTM神经网络模型的预测精度...
271个字符 (一般不超过100字符) 数据科学,数据分析,机器学习,人工智能,深度学习,推荐系统,NLP,CV,回归,分类,聚类,降维,朴素贝叶斯,决策树,SVM,KMeans,PCA,SVD,Logistic,DNN,CNN,LSTM,RNN,GAN,自编码器,sklearn,scikit-learn,TensorFlow,PyTorch,Python,NumPy,Matplotlib,Pandas ...
CNNLSTMExoskeletonsEMGKnee trajectoryPCABionic robotJournal of Bionic Engineering - In recent years, sEMG (surface electromyography) signals have been increasingly used to operate wearable devices. The development of mechanical lower limbs or...
To classify different behaviours, the videos composed of the selected frames were trained and validated with convolutional neural network (CNN) and a long short-term memory (LSTM) models. Using the proposed method, postural behaviours could be classified with accuracies of 95.33% and 92.67% on ...
(improved PCA+CNN-LSTM)effectively recognizes lower limb activity from sEMG signals.For the same data input,the EMG signal processed using the improved PCA method performed better in terms of prediction results.This is the first step toward myoelectric control of aided exoskeleton robots using ...