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In this paper we propose the optimization of a convolutional neural network (CNN) using the Fuzzy Gravitational Search Algorithm method (FGSA).
Nov 24, 2019 · In this paper we propose the optimization of a convolutional neural network (CNN) using the Fuzzy Gravitational Search Algorithm method (FGSA).
Optimal Recognition Model Based on Convolutional Neural Networks and Fuzzy Gravitational Search Algorithm Method. https://doi.org/10.1007/978-3-030-34135- ...
In this paper we propose the optimization of a convolutional neural network (CNN) using the Fuzzy Gravitational Search Algorithm method (FGSA). The FGSA is ...
The fuzzy gravitational search algorithm with dynamic parameter adaptation is used for optimizing the modular neural network in a particular pattern recognition ...
This paper presents a model of the search for adaptation of parameters and the creation of the membership functions of various fuzzy systems.
This paper is aimed to show the workability of two soft computing techniques in predicting the deformation of GRS structures.
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This paper presents an approach to design convolutional neural network architectures, using the particle swarm optimization algorithm.
Finally, the recognition can be done using optimal deep neural network based on the gravitational search algorithm. Therefore, the proposed method's performance ...
An effective face detection and recognition framework is proposed with optimal feature extraction methods and the efficiency of the proposed approach is ...