A Novel Neural-Fuzzy Guidance Law Design by Applying Different Neural Network Optimization Algorithms Alternatively for Each Step

Guidance Law ◽

Neural Fuzzy

Iterative CT image reconstruction using neural network optimization algorithms

Medical Imaging 2019: Physics of Medical Imaging ◽

10.1117/12.2512329 ◽

2019 ◽

Author(s):

Hongquan Zuo ◽

Jun Zhang

Keyword(s):

Neural Network ◽

Image Reconstruction ◽

Network Optimization ◽

Optimization Algorithms ◽

Ct Image ◽

Ct Image Reconstruction

Missile Guidance Law Based on Robust Model Predictive Control Using Neural-Network Optimization

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2014.2345734 ◽

2015 ◽

Vol 26 (8) ◽

pp. 1803-1809 ◽

Cited By ~ 35

Author(s):

Zhijun Li ◽

Yuanqing Xia ◽

Chun-Yi Su ◽

Jun Deng ◽

Jun Fu ◽

...

Keyword(s):

Neural Network ◽

Model Predictive Control ◽

Predictive Control ◽

Network Optimization ◽

Missile Guidance ◽

Robust Model Predictive Control ◽

Guidance Law ◽

Robust Model

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) ◽

Evaluating Convolution Neural Network optimization Algorithms for Classification of Cervical Cancer Macro Images

10.1109/icecco48375.2019.9043255 ◽

2019 ◽

Author(s):

Suleiman Mustafa ◽

Mohammed Dauda

Keyword(s):

Neural Network ◽

Cervical Cancer ◽

Network Optimization ◽

Optimization Algorithms ◽

Convolution Neural Network ◽

Advances in Intelligent Systems and Computing - Artificial Intelligence and Bioinspired Computational Methods ◽

Neural Network Optimization Algorithms for Controlled Switching Systems

10.1007/978-3-030-51971-1_39 ◽

2020 ◽

pp. 470-483

Author(s):

Olga V. Druzhinina ◽

Olga N. Masina ◽

Alexey A. Petrov ◽

Evgeny V. Lisovsky ◽

Maria A. Lyudagovskaya

Keyword(s):

Neural Network ◽

Network Optimization ◽

Optimization Algorithms ◽

Switching Systems ◽

Controlled Switching

An Automatic Convolutional Neural Network Optimization Using a Diversity-Guided Genetic Algorithm

IEEE Access ◽

10.1109/access.2021.3091729 ◽

2021 ◽

pp. 1-1

Author(s):

Tirana Noor Fatyanosa ◽

Masayoshi Aritsugi

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Convolutional Neural Network ◽

Network Optimization ◽

Greedy based convolutional neural network optimization for detecting apnea

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2020.105640 ◽

2020 ◽

Vol 197 ◽

pp. 105640 ◽

Cited By ~ 1

Author(s):

Sheikh Shanawaz Mostafa ◽

Darío Baptista ◽

Antonio G. Ravelo-García ◽

Gabriel Juliá-Serdá ◽

Fernando Morgado-Dias

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Network Optimization ◽

Solution of interface problems with nonmonotone contact and friction laws using a neural network optimization environment

Advances in Engineering Software ◽

10.1016/j.advengsoft.2004.03.013 ◽

2004 ◽

Vol 35 (10-11) ◽

pp. 653-662 ◽

Cited By ~ 1

Author(s):

E.S. Mistakidis

Keyword(s):

Neural Network ◽

Network Optimization ◽

Interface Problems ◽

Friction Laws

Neural network optimization for multi-target multi-sensor passive tracking

Proceedings of the IEEE ◽

10.1109/5.537110 ◽

1996 ◽

Vol 84 (10) ◽

pp. 1442-1457 ◽

Cited By ~ 25

Author(s):

S. Shams

Keyword(s):

Neural Network ◽

Network Optimization ◽

Passive Tracking

MRI Fuzzy Segmentation of Brain Tissue Using Neighborhood Attraction With Neural-Network Optimization

IEEE Transactions on Information Technology in Biomedicine ◽

10.1109/titb.2005.847500 ◽

2005 ◽

Vol 9 (3) ◽

pp. 459-467 ◽

Cited By ~ 220

Author(s):

S. Shen ◽

W. Sandham ◽

M. Granat ◽

A. Sterr

Keyword(s):

Neural Network ◽

Brain Tissue ◽

Network Optimization ◽

Fuzzy Segmentation

2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) ◽

QCS-CNN: A Neural Network Optimization Algorithm in Resource-Constrained Environment

10.1109/iccwamtip51612.2020.9317513 ◽

2020 ◽

Author(s):

LiU Di ◽

Zhizhao Feng

Keyword(s):

Neural Network ◽

Optimization Algorithm ◽

Network Optimization ◽

Resource Constrained ◽