EvoDCNN: An evolutionary deep convolutional neural network …
WEBJun 1, 2022 · Developing Deep Convolutional Neural Networks (DCNNs) for image classification is a complicated task that needs considerable effort and knowledge. By employing an evolutionary computation approach, one can automatically generate the network models.
Evolutionary convolutional neural network for image classification ...
WEBNov 29, 2022 · In this article, a multi-objective genetic programming algorithm with a leader–follower evolution mechanism (LF-MOGP) is proposed, where a flexible encoding strategy with variable length and width based on Cartesian genetic programming is designed to represent the topology of CNNs.
Evolutionary neural architecture search combining multi-branch …
WEBSep 22, 2023 · Convolutional neural networks (CNNs), as the foundation of deep learning 1, have made prominent achievements in various specialized fields, such as image classification 2, natural language...
Tree-shaped multiobjective evolutionary CNN for hyperspectral …
WEBFeb 1, 2024 · In this study, we propose a multiobjective evolutionary CNN for HSI classification, termed TMOE-CNN. TMOE-CNN aims to design CNNs automatically while balancing the classification performance and the complexity of …
Evolution of Deep Convolutional Neural Networks Using Cartesian …
WEBMar 1, 2020 · The CNN structure and connectivity, represented by the CGP, are optimized to maximize accuracy using the evolutionary algorithm. We also introduce simple techniques to accelerate the architecture search: rich …
Meet the man who has transformed our understanding of evolution - CNN
WEBJan 30, 2023 · For Darwin, evolution was largely a thought experiment inspired by what he saw in nature, but Schluter’s work, in the field and in the lab, has revealed and fleshed out the ecological mechanisms...
A survey of designing convolutional neural network using evolutionary …
WEBOct 25, 2022 · The CNN has shown immense success in computer vision and image classification tasks, which extract image content higher representations. This article provides a comprehensive survey of the evolution of CNN architectures using various evolution algorithms.
Evolutionary neural networks for deep learning: a review - Springer
WEBJun 10, 2022 · Evolutionary neural networks (ENNs) are an adaptive approach that combines the adaptive mechanism of Evolutionary algorithms (EAs) with the learning mechanism of Artificial Neural Network (ANNs).
An evolutionary framework for designing adaptive convolutional …
WEBAug 15, 2023 · In this work, we propose a novel framework using an adapted Genetic Algorithm (GA) that automatically evolves an effective CNN architecture. We rectify the GA by devising an effective encoding scheme, an approach to initialize the input population, and a diversified offspring generation method.
WEBsearch of the optimal or approximate optimal network architectures and hyperparameters for a specific task. Motivated by the idea, in this paper, we propose a Fast evolutionary learning framework based on Genetic network programming (GNP-FEL) to …