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Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme

JOURNAL ARTICLE published November 2019 in Neural Networks

Research funded by National Natural Science Foundation of China (61503292,61673014,61703117) | Natural Science Basic Research Program of Shaanxi Province, China (61877046,2017JM1001,2018JM 6079) | Natural Science Foundation of Guangxi, China (2017GXNSFBA198113) | Fundamental Research Funds for the Central Universities, China (JB181305)

Authors: Jin Xie | Sanyang Liu | Hao Dai

Order in the Black Box: Consistency and Robustness of Hidden Neuron Activation of Feed Forward Neural Networks and Its Use in Efficient Optimization of Network Structure

BOOK CHAPTER published 2016 in Artificial Neural Network Modelling

Authors: Sandhya Samarasinghe

Mineral potential mapping using feed-forward neural networks

PROCEEDINGS ARTICLE published in Proceedings of the International Joint Conference on Neural Networks, 2003.

Authors: A. Skabar

A Modified Particle Swarm Optimization Algorithm and its Application For Solving Traveling Salesman Problem

PROCEEDINGS ARTICLE published in 2005 International Conference on Neural Networks and Brain

Particle Swarm Optimisation in Feedforward Neural Network

BOOK CHAPTER published 2000 in Artificial Neural Networks in Medicine and Biology

Authors: Chunkai Zhang | Huihe Shao

Coupling artificial neural networks with the artificial bee colony algorithm for global calibration of hydrological models

JOURNAL ARTICLE published July 2021 in Neural Computing and Applications

Research funded by Xunta de Galicia (ED481A-2019/014)

Authors: Juan F. Farfán | Luis Cea

An Improved Artificial Fish Swarm Algorithm to Solve the Cutting Stock Problem

BOOK CHAPTER published 2018 in Advances in Neural Networks – ISNN 2018

Authors: Chunying Cheng | Lanying Bao

Stochastic controller as an active queue management based on B-spline kernel observer via particle swarm optimization

JOURNAL ARTICLE published August 2013 in Neural Computing and Applications

Authors: Amir Esmaeili Abharian | Hamid Khaloozadeh | Roya Amjadifard

Some issues for f’ (x)

BOOK CHAPTER published 1995 in Feed-Forward Neural Networks

Authors: Anne-Johan Annema

Brain storm optimization algorithm for solving knowledge spillover problems

JOURNAL ARTICLE published June 2023 in Neural Computing and Applications

Research funded by National Natural Science Foundation of China (61806119,61761136008)

Authors: Shi Cheng | Mingming Zhang | Lianbo Ma | Hui Lu | Rui Wang | Yuhui Shi

LVQ algorithm with instance weighting for generation of prototype-based rules

JOURNAL ARTICLE published October 2011 in Neural Networks

Authors: Marcin Blachnik | Włodzisław Duch

Application of An Improved Particle Swarm Optimization Algorithm for Neural Network Training*

PROCEEDINGS ARTICLE published in 2005 International Conference on Neural Networks and Brain

On lateral connections in feed-forward neural networks

PROCEEDINGS ARTICLE published in Proceedings of International Conference on Neural Networks (ICNN'96)

Authors: R. Kothari | K. Agyepong

Dynamics of Single Layer Nets

BOOK CHAPTER published 1995 in Feed-Forward Neural Networks

Authors: Anne-Johan Annema

Electric fish optimization: a new heuristic algorithm inspired by electrolocation

JOURNAL ARTICLE published August 2020 in Neural Computing and Applications

Research funded by Türkiye Bilimsel ve Teknolojik Arastirma Kurumu (2228)

Authors: Selim Yilmaz | Sevil Sen

Affine-based registration of CT and MR modality images of human brain using multiresolution approaches: comparative study on genetic algorithm and particle swarm optimization

JOURNAL ARTICLE published March 2011 in Neural Computing and Applications

Authors: Arpita Das | Mahua Bhattacharya

A New Min-Max Optimisation Approach for Fast Learning Convergence of Feed-Forward Neural Networks

BOOK CHAPTER published 1993 in Artificial Neural Nets and Genetic Algorithms

Authors: A. Chella | A. Gentile | F. Sorbello | A. Tarantino

A stochastic training technique for feed-forward neural networks

PROCEEDINGS ARTICLE published 1990 in 1990 IJCNN International Joint Conference on Neural Networks

Authors: S.P. Day | D.S. Camporese

Correction to: A hybrid teaching–learning slime mould algorithm for global optimization and reliability-based design optimization problems

JOURNAL ARTICLE published December 2022 in Neural Computing and Applications

Authors: Changting Zhong | Gang Li | Zeng Meng

A new fast learning algorithm with promising global convergence capability for feed-forward neural networks

PROCEEDINGS ARTICLE published August 2013 in The 2013 International Joint Conference on Neural Networks (IJCNN)

Authors: Chi-Chung Cheung | Sin-Chun Ng | Andrew K Lui | Sean Shensheng Xu