Backpropagation neural network design and evaluation for classifying weed species using color image texture

Computer Science

• Accuracy 50%
• back-propagation neural network 100%
• Class 100%
• Classification Accuracy 50%
• Classification Models 25%
• Complexity 25%
• Cycle Requirement 25%
• Evaluation 100%
• Input Statistic 25%
• Model 25%
• Network Design 100%
• Network Layer 25%
• Network Topology 50%
• Procedure 50%
• Statistics 50%
• Topology 100%
• Training Cycle 25%
• Variable Model 25%

Engineering

• Accuracy 50%
• Backpropagation Network 100%
• Classification Accuracy 50%
• Color Image 100%
• Complexity 25%
• Cycle 25%
• Dataset 25%
• Design 100%
• Evaluation 100%
• Hidden Layer 50%
• Images 25%
• Layer Network 25%
• Model 75%
• Network Topology 50%
• Network Training 25%
• Nodes 25%
• Output Node 25%
• Repeatability 25%
• Requirement 25%
• Soil Surface 25%

Agricultural and Biological Sciences

• Abutilon Theophrasti 16%
• Accuracy 66%
• Chenopodium Album 16%
• Design 100%
• Digitaria sanguinalis 16%
• Model 50%
• Neural Network 100%
• Occurrence 33%
• Repeatability 16%
• Soils 16%
• Statistics 50%
• Surface 16%
• Topology 100%
• Velvetleaf 16%
• Weed 100%