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Spatially Explicit Hyperparameter Optimization for Neural Networks
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Spatially Explicit Hyperparameter Optimization for Neural Networks

2021 ed.

Book Details

Format Paperback / Softback
ISBN-10 9811654018
ISBN-13 9789811654015
Edition 2021 ed.
Publisher Springer Verlag, Singapore
Imprint Springer Verlag, Singapore
Country of Manufacture GB
Country of Publication GB
Publication Date Oct 20th, 2022
Print length 108 Pages
Ksh 21,600.00
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Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex geographic phenomena.
Chapter 1: Introduction.- Chapter 2: Literature Review.- Chapter 3: Methodology.- Chapter 4: Study I. Hyperparameter optimization of neural network-driven spatial models accelerated using cyber-enabled high-performance computing.- Chapter 5: Study II. Spatially explicit hyperparameter optimization of neural networks accelerated using high-performance computing.- Chapter 6: Study III. An integration of spatially explicit hyperparameter optimization with convolutional neural networks-based spatial models.

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