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Artificial Neural Networks in Biological and Environmental Analysis Analytical Chemistry 1st Edition by Grady Hanrahan ISBN 978-1439812594 1439812594

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Artificial Neural Networks in Biological and Environmental Analysis Analytical Chemistry 1st Edition Grady Hanrahan Digital Instant Download

Author(s): Grady Hanrahan
ISBN(s): 9781439812594, 1439812594
Edition: 1
File Details: PDF, 2.49 MB
Year: 2011
Language: english
SKU: EB-2496700 Category: Tag:

Artificial Neural Networks in Biological and Environmental Analysis Analytical Chemistry 1st Edition by Grady Hanrahan – Ebook PDF Instant Download/Delivery:  978-1439812594,  1439812594 
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Product details: 

ISBN 10:  1439812594 

ISBN 13: 978-1439812594

Author: Grady Hanrahan

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence research. Catalyzed by the upsurge in computational power and availability, and made widely accessible with the co-evolution of software, algorithms, and methodologies, artificial neural networks have had a profound

Table of contents: 

1. Introduction
1.1 Artificial Intelligence: Competing Approaches or Hybrid Intelligent Systems?
1.2 Neural Networks: An Introduction and Brief History
1.3 Neural Network Application Areas
1.4 Concluding Remarks
1.5 References

2. Network Architectures
2.1 Neural Network Connectivity and Layer Arrangement
2.2 Feedforward Neural Networks
2.3 Recurrent Neural Networks
2.4 Concluding Remarks
2.5 References

3. Model Design and Selection Considerations
3.1 In Search of the Appropriate Model
3.2 Data Acquisition
3.3 Data Preprocessing and Transformation Processes
3.4 Feature Selection
3.5 Data Subset Selection
3.6 Neural Network Training
3.7 Model Selection
3.8 Model Validation and Sensitivity Analysis
3.9 Concluding Remarks
3.10 References

4. Intelligent Neural Network Systems and Evolutionary Learning
4.1 Hybrid Neural Systems
4.2 An Introduction to Genetic Algorithms
4.3 An Introduction to Fuzzy Concepts and Fuzzy Inference Systems
4.4 The Neural-Fuzzy Approach
4.5 Hybrid Neural Network-Genetic Algorithm Approach
4.6 Concluding Remarks
4.7 References

5. Applications in Biological and Biomedical Analysis
5.1 Introduction
5.2 Applications
5.3 Concluding Remarks
5.4 References

6. Applications in Environmental Analysis
6.1 Introduction
6.2 Applications
6.3 Concluding Remarks
6.4 References

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Tags: Grady Hanrahan, Artificial Neural Networks, Biological and Environmental