An Improved Convolutional Neural Network Based on a Parameter Modification of the Convolution Layer-Reference-Cited by-同舟云学术

An Improved Convolutional Neural Network Based on a Parameter Modification of the Convolution Layer

Published:2021 Issue: Volume: Page:125-147
ISSN:1860-949X
Container-title:Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications
language:
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Author:

Rodriguez Ruth,Gonzalez Claudia I.,Martinez Gabriela E.,Melin Patricia

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-68776-2_8

Reference36 articles.

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3. Bin, L.Y., G.Y. Huann, and L.K. Yun. 2019. Study of convolutional neural network in recognizing static american sign language. In 2019 IEEE international conference on signal and image processing applications (ICSIPA), pp. 41–45.

4. Castillo, O., and P. Melin. 1998. A new fuzzy-fractal-genetic method for automated mathematical modelling and simulation of robotic dynamic systems. 1998 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 1998) Proceedings. Volume 2, 1182–1187.

5. Castillo, O., and P. Melin. 2003. Intelligent adaptive model-based control of robotic dynamic systems with a hybrid fuzzy-neural approach. Applied Soft Computing 3 (4): 363–378.

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