| Description |
1 online resource (xi, 229 pages) |
| Series |
Computer science, technology and applications |
|
Computer science, technology and applications.
|
| Contents |
Preface; Applications of Artificial Neural Networks in Chemical Engineering; Abstract; Artificial Neural Networks; Artificial and Biological Neural Networks; Biological Neuron; Analogy between Artificial and Biological Neurons; Artificial Neuron; Perceptrons; Comparison of the Biological and Artificial Neural Networks; Learning; Division of Artificial Neural Networks; Application of ANN; The Application of ANN in Chemical Engineering; Application of Artificial Neural Networks in Pharmaceutical Research; Application of Artificial Neural Network for Extraction Processes |
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Application of Artificial Neural Network for Adsorption ProcessesApplication of Artificial Neural Networks; in Chemistry; Conclusion; Acknowledgments; References; Biographical Sketch; Applications of Artificial Neural Networks in Chemistry and Chemical Engineering; Abstract; Introduction; Applications of Artificial Neural Networks in Chemical Engineering; Lengthy Response or Unavailability of Physical Sensors; Multipurpose Processes; Advanced Control, Faults Detection and Diagnosis, and Safety; Applications of Artificial Neural Networks in Chemical and Related Areas; Data Reduction |
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Overlapped Signal ResolutionExperimental Design and Response Surface; Modeling; Pattern Recognition; Multivariate Calibration Method; Conclusion; Acknowledgments; References; Applications of Artificial Neural Networks to Energy and Buildings; Abstract; Foreword; Feedforward Neural Network: Learning Process; Analysis of the Artificial Neural Network Applications in Energy and Buildings; Artificial Neural Network Applications; Buildings and Energy Plants; Renewable Energy Sources; Indoor Thermal Conditions; Outdoor Conditions; Other Applications; Conclusion; References |
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Applications of Artificial Neural Network to Predict Biodiesel Fuel Properties from Fatty Acid ConstituentsAbstract; 1. Introduction; 2. Materials and Methods; 2.1. Data Collection and Selection; 2.2. Modification of Fatty Acids; 2.3. ANN Components and Architecture; 2.4. ANN Modelling; 2.4.1. Modeled Parameters; 2.4.2. ANN Training; 3. Result and Discussion; 3.1. Cetane Number Prediction; 3.2. Kinematic Viscosity Prediction; 3.3. Flash Point Prediction; 3.4. Density Prediction; Appendix; References; Applications of ANN Methods for Solar Radiation Estimation; Abstract; 1. Introduction |
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2. Meteorological Data Base3. Artificial Neural Network (ANN); 4. Accuracy Estimation; 5. First Study: Determination of Horizontal Global Solar Irradiation from Other Meteorological Data; 6. Second Study: Conversion of Horizontal Global Solar Irradiation into Tilted One; Conclusion; Acknowledgement; References; Biographical Sketches; The Use of In Silico Methods to Design and Evaluate Skin UV Filters; Abstract; Introduction; Artificial Neural Networks (ANNs); Data Selection; External Model Validation; Conclusion; References |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from digital title page (viewed on February 13, 2017) |
| Subject |
Neural networks (Computer science)
|
|
COMPUTERS -- General.
|
|
Neural networks (Computer science)
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| Form |
Electronic book
|
| Author |
Cain, Gayle, editor
|
| LC no. |
2016044235 |
| ISBN |
9781634859790 |
|
1634859790 |
|
