Titlebook: Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances; Yanan Sun,Gary G. Yen,Mengjie Zhang Book 2023 Th

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Architecture Design for?Plain CNNs unless its performance is analyzed and compared to other architectures. However, measuring the effectiveness of a sole individual consumes a long time, and the situation becomes even more challenging when population-based methods are adopted. To hasten the process of evolution, significantly more c

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Internet Protocol Based Architecture Designer EC approaches to develop CNN architectures, as a result, some other significant EC approaches are anticipated to be investigated for evolving CNN architectures without involving humans. PSO is chosen in this chapter because it has the benefits over traditional implementation, reduced computing co

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Differential Evolution for?Architecture Designng new crossover and mutation operators of DE, as well as an encoding scheme, and a second crossover operator will help to achieve the goal. DECNN will be evaluated on six datasets of various complexity that are widely used and compared to 12 state-of-the-art methods.

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Architecture Design for?Analyzing Hyperspectral Imagesplay spectral and spatial information. In forestry?[., .], agriculture, and urban planning, HSIs are commonly used. However, there are impacts with the multi-detector utilized to create the HSIs because of the harsh space environment, resulting in the noise of HSIs. The accuracy of consequent work,