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Artificial Neural Networks can be viewed as a mathematical model to simulate natural and biological systems on the basis of mimicking the information processing methods in the human brain. The capability of current ANNs only focuses on approximating arbitrary deterministic input-output mappings. However, these ANNs do not adequately represent the variability which is observed in the systems' natural settings as well as capture the complexity of the whole system behaviour. This thesis addresses the development of a new class of neural networks called Stochastic Neural Networks in order to...

Design and Construction of Coordination Polymers

Edited by

Mao-Chun Hong

Ling Chen

A Unique Resource on coordination Polymers

Coordination polymers are a growing, interdisciplinary field with numerous potential applications in chemistry and materials. Design and Construction of Coordination Polymers provides a comprehensive introduction to this field, focusing on synthetic strategies, structures, properties, and potential applications. Each chapter provides a unique perspective on coordination polymers, offering a dedicated approach as well as deeper...