Application of neural networks to quantify the utility of indices of biotic integrity for biological monitoring

Business & Economics

• Neural Networks 84%
• Integrity 67%
• Monitoring 51%
• Diagnostics 10%
• Prediction 8%
• Bootstrap 7%
• Multiple Regression 7%
• Quantitative Evaluation 6%
• Performance 6%
• Performance Index 6%
• Environmental Conditions 6%
• Predictors 5%
• Ecosystem 5%
• Causation 5%
• Usefulness 4%
• Organism 4%
• Uncertainty 3%
• Modeling 3%

Agriculture & Biology

• environmental monitoring 79%
• neural networks 76%
• prediction 16%
• aquatic organisms 13%
• macrophytes 12%
• anthropogenic activities 12%
• uncertainty 11%
• regression analysis 10%
• lakes 9%
• methodology 9%
• ecosystems 8%
• environmental factors 7%
• monitoring 7%

Earth & Environmental Sciences

• Index of Biotic Integrity 100%
• biological monitoring 89%
• index 17%
• aquatic organism 7%
• macrophyte 7%
• prediction 7%
• multiple regression 6%
• environmental conditions 5%
• human activity 5%
• ecosystem 4%
• lake 4%
• monitoring 3%
• modeling 2%
• effect 1%