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
Product Classification:
SociologyCentral government policiesEconomic geographyNeural networks & fuzzy systems
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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