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160926s2017 nyua ob 001 0 eng |
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|a UAMI
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| 130 |
0 |
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|a Artificial neural networks (Nova Science Publishers)
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| 245 |
1 |
0 |
|a Artificial neural networks :
|b new research /
|c Gayle Cain, editor.
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| 264 |
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1 |
|a New York :
|b Nova Science Publishers, Inc.,
|c [2017]
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| 300 |
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|a 1 online resource (xi, 229 pages)
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1 |
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|a Computer science, technology and applications
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| 504 |
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|a Includes bibliographical references and index.
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| 505 |
0 |
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|a 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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| 505 |
8 |
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|a 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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| 505 |
8 |
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|a 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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| 505 |
8 |
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|a 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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| 505 |
8 |
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|a 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.
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| 588 |
0 |
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|a Online resource; title from digital title page (viewed on February 13, 2017).
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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| 650 |
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|a Neural networks (Computer science)
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| 650 |
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6 |
|a Réseaux neuronaux (Informatique)
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|a Cain, Gayle,
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|i Print version:
|d Hauppauge, New York, USA : Nova Science Publishers, Inc., [2016]
|z 9781634859646
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