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Keyword [Support Vector Machines]
Result: 61 - 80 | Page: 4 of 8
61. Comparison And Research Of Prediction Methods For PM10 Concentration In Shanghai
62. Research For Dangerous Area Prediction And Prevention Technology Of Coal And Gas Outburst Based On The SVM
63. The Optimization Algorithm Of Support Vector Machine And Its Application In The Urban Environment Carrying Capacity
64. Researches For The Dissolved Oxygen Intelligent Optimization Control System In The Aeration Tank Of Wastewater Treatment
65. The Application Of QSPR/QSAR In The Prediction Of The Hazard Properties Of Organic Compounds
66. The Bearing Fault Diagnosis Of CNC Machine Tool Feed System Based On Support Vector Machine
67. Applied Research Of Support Vector Machine Based On Ant Colony Algorithm In Reservoir Parameters
68. Analysis Based On Linear Regression And SVM Leaf Quality And Level Of Predictive Models
69. Study On Support Vrctor Machine-based Fault Diagnosis In Tennessee Eastman Process
70. The Effect Study Of Preparation And Tribological Properties About PI Based On Support Vector Machines
71. Remote Sensing For Fire Risk Assessment Based On Semi-supervised Machine Learning Classification
72. Research On Spatial Distribution Characteristics Of Geologic Disaster And Landslide Susceptibility Assessment In Huoxi Coalfield
73. Regional Prediction Of Coal And Gas Outbursts Based On Geological Complexity Using SVM Model
74. Application And Improvement Of Blast Furnace Temperature Prediction Basing On LSSVM
75. Research On Monitoring Technology Of Beer Brewing Process Based On Support Vector Machine
76. The Detection Of Leakage And Location Based On The Distributed Fiber-Optic On Underwater Pipeline And Date Analysis Methods
77. Research On Garment Style Recognition Method Based On Digital Image Processing
78. Prediction Of Mining Surface Settlement Based On Ant Colony Optimization Algorithm For Support Vector Machine
79. Research On Cold-rolled Aluminum Surface Defects Classification Based On Support Vector Machines
80. The Prediction Model Of Maximum Subsidence In Mining Area Of Loess Based On Support Vector Machines
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