High-performance Concrete Strength Prediction Model Based on the Radial Basis Function Neural Network of Human Cerebral Cortex-Reference-Cited by-同舟云学术

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High-performance Concrete Strength Prediction Model Based on the Radial Basis Function Neural Network of Human Cerebral Cortex

Published:2018-05-27 Issue:5 Volume:16 Page:
ISSN:1303-5150
Container-title:NeuroQuantology
language:
Short-container-title:Neuroquantology

Author:

Chen Xiuyun,Fei Jiangang,Yuan Xiaohui

Publisher

NeuroQuantology Journal

Subject

Cognitive Neuroscience,Developmental Neuroscience,Atomic and Molecular Physics, and Optics

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Compressive Strength Prediction of High-Performance Hydraulic Concrete using a Novel Neural Network Based on the Memristor;Advances in Applied Mathematics and Mechanics;2024-06

2. Using radial basis function for estimating the high-performance concrete compressive strength with optimizing AVOA and SSA;Journal of Intelligent & Fuzzy Systems;2023-12-29

3. Developing support vector regression and radial basis function neural networks in optimized holistic frameworks to estimate hardness properties of concrete;Journal of Intelligent & Fuzzy Systems;2023-11-04

4. Prediction of high-performance concrete compressive strength through novel structured neural network;Journal of Intelligent & Fuzzy Systems;2023-07-02

5. Artificial Neural Model based on radial basis function networks used for prediction of compressive strength of fiber-reinforced concrete mixes;Ciencia e Ingeniería Neogranadina;2019-06-20

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