A Novel Gas Recognition and Concentration Detection Algorithm for Artificial Olfaction

Keyphrases

• Detection Algorithm 100%
• Recognition Detection 100%
• Many-to-many 100%
• Gas Concentration 100%
• Artificial Olfaction 100%
• Gas Recognition 100%
• Concentration Detection 100%
• Long Short-term Memory Neural Network 66%
• Wavelet Convolutional Neural Network 66%
• AdaBoost 33%
• Neural Network 33%
• Dimensionality Reduction 33%
• Support Vector Machine 33%
• Kernel Function 33%
• Labeled Data 33%
• Random Forest 33%
• Decision Tree 33%
• Recognition Accuracy 33%
• Convolutional Neural Network 33%
• Signal Processing 33%
• High Concentration 33%
• Detection Accuracy 33%
• Limited Labeled Data 33%
• Multilayer Perceptron 33%
• Kernel Principal Component Analysis 33%
• Conventional Algorithm 33%
• Array Signal 33%
• Grayscale Image 33%
• Detection Model 33%
• Gated Recurrent Unit 33%
• Input Layer 33%
• Recognition Algorithm 33%
• Gas Mixture 33%
• Data Processing Algorithm 33%
• Traditional Data 33%
• Gradient Boosting Decision Tree 33%
• Steady-state Value 33%
• Bayesian Ridge 33%
• Gas Sensor Array 33%
• Gas Concentration Detection 33%
• Recurrent Neural Network Algorithm 33%
• Signal Data 33%
• K-nearest 33%
• Machine Decisions 33%

Computer Science

• Convolutional Neural Network 100%
• Long Short-Term Memory Network 100%
• Detection Algorithm 100%
• Neural Network 66%
• Recurrent Neural Network 66%
• Decision Tree 66%
• Dimensionality Reduction 33%
• Kernel Function 33%
• Support Vector Machine 33%
• Random Decision Forest 33%
• Recognition Algorithm 33%
• Detection Accuracy 33%
• Gated Recurrent Unit 33%
• Conventional Algorithm 33%
• Gradient Boosting 33%
• Experimental Result 33%
• Principal Components 33%
• Processing Algorithm 33%
• Recognition Accuracy 33%
• Component Analysis 33%
• Data Processing 33%
• Artificial Neural Network 33%

Chemical Engineering

• Neural Network 100%
• Recurrent Neural Network 50%
• Long Short-Term Memory 50%
• Multilayer Neural Networks 25%
• Support Vector Machine 25%