A novel optimization algorithm: Cascaded adaptive neuro-fuzzy inference system N Rathnayake, TL Dang, Y Hoshino International Journal of Fuzzy Systems 23 (7), 1955-1971, 2021 | 24 | 2021 |
Hardware/software co-design for a neural network trained by particle swarm optimization algorithm TL Dang, Y Hoshino Neural processing letters 49 (2), 481-505, 2019 | 23 | 2019 |
Machine learning techniques to predict the air quality using meteorological data in two urban areas in Sri Lanka L Mampitiya, N Rathnayake, LP Leon, V Mandala, HM Azamathulla, ... Environments 10 (8), 141, 2023 | 21 | 2023 |
PSO training of the neural network application for a controller of the line tracing car Y Hoshino, H Takimoto 2012 IEEE International Conference on Fuzzy Systems, 1-8, 2012 | 21 | 2012 |
Classification of metal objects using deep neural networks in waste processing line TL Dang, T Cao, Y Hoshino International Journal of Innovative Computing, Information and Control 15 (5 …, 2019 | 19 | 2019 |
Kansei and colour harmony models for townscape evaluation Y Kinoshita, EW Cooper, Y Hoshino, K Kamei Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2006 | 17 | 2006 |
A cascaded adaptive network-based fuzzy inference system for hydropower forecasting N Rathnayake, U Rathnayake, TL Dang, Y Hoshino Sensors 22 (8), 2905, 2022 | 16 | 2022 |
Deep machine learning-based water level prediction model for Colombo flood detention area M Herath, T Jayathilaka, Y Hoshino, U Rathnayake Applied Sciences 13 (4), 2194, 2023 | 14 | 2023 |
An efficient automatic fruit-360 image identification and recognition using a novel modified cascaded-ANFIS algorithm N Rathnayake, U Rathnayake, TL Dang, Y Hoshino Sensors 22 (12), 4401, 2022 | 13 | 2022 |
Evaluation of optimization methods for neural network Y Yasuoka, Y Shinomiya, Y Hoshino 2016 Joint 8th International Conference on Soft Computing and Intelligent …, 2016 | 12 | 2016 |
A proposal of reinforcement learning system to use knowledge effectively Y Hoshino, K Kamei SICE 2003 Annual Conference (IEEE Cat. No. 03TH8734) 2, 1582-1585, 2003 | 12 | 2003 |
A proposed model of diagnosis and prescription in oriental medicine using RBF neural networks C Thang, EW Cooper, Y Hoshino, K Kamei, NH Phuong Journal of Advanced Computational Intelligence Vol 10 (4), 2006 | 11 | 2006 |
Cascaded-ANFIS to simulate nonlinear rainfall–runoff relationship N Rathnayake, U Rathnayake, I Chathuranika, TL Dang, Y Hoshino Applied Soft Computing 147, 110722, 2023 | 10 | 2023 |
A proposal of a usability scale system for rehabilitation games based on the cognitive therapeutic exercise Y Hoshino, K Mitani International Journal of Innovative Computing, Information and Control 14 (4 …, 2018 | 10 | 2018 |
Development of Fuzzy controller for the steering angle and the motor power control application to the line trace car H Takimoto, Y Hoshino 2009 IEEE International Conference on Fuzzy Systems, 2072-2076, 2009 | 10 | 2009 |
A townscape evaluation system based on Kansei and colour harmony models Y Kinoshita, EW Cooper, Y Hoshino, K Kamei 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat …, 2004 | 10 | 2004 |
Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka N Rathnayake, U Rathnayake, TL Dang, Y Hoshino Plos one 18 (4), e0282847, 2023 | 9 | 2023 |
A fuzzy clustering based selection method to maintain diversity in genetic algorithms Y Sakakura, N Taniguchi, Y Hoshino, K Kamei 2006 IEEE International Conference on Evolutionary Computation, 3007-3012, 2006 | 9 | 2006 |
Wetland water level prediction using artificial neural networks—A case study in the Colombo flood detention area, Sri Lanka T Jayathilake, R Sarukkalige, Y Hoshino, U Rathnayake Climate 11 (1), 1, 2022 | 8 | 2022 |
Townscape color planning system using an evolutionary algorithm and kansei evaluations Y Kinoshita, Y Sakakura, EW Cooper, Y Hoshino, K Kamei 2006 IEEE International Conference on Fuzzy Systems, 931-938, 2006 | 8 | 2006 |