Application of Radial Basis Function Neural Network for Sales Forecasting. - R. J. Kuo 001; Tung-Lai Hu; Zhen-Yao Chen (CAR, 2009)

Sales Forecasting Using an Evolutionary Algorithm Based Radial Basis Function Neural Network. - R. J. Kuo 001; Tung-Lai Hu; Zhen-Yao Chen (UNISCON, 2009)

Integration of growing self-organizing map and continuous genetic algorithm for grading lithium-ion battery cells. - R. J. Kuo 001; C. F. Wang; Zhen-Yao Chen (Appl. Soft Comput., 2012)

Integration of particle swarm optimization and genetic algorithm for dynamic clustering. - R. J. Kuo 001; Y. J. Syu; Zhen-Yao Chen; Fang-Chih Tien (Inf. Sci., 2012)

A Hybrid Algorithm by Combining Swarm Intelligence Methods and Neural Network for Gold Price Prediction. - Zhen-Yao Chen (MISNC, 2014)

Integration of Artificial Immune System and K-Means Algorithm for Customer Clustering. - R. J. Kuo 001; N. J. Chiang; Zhen-Yao Chen (Appl. Artif. Intell., 2014)

Application of Integrated Neural Network and Nature-Inspired Approach to Demand Prediction. - Zhen-Yao Chen (ACIIDS (1), 2015)

Immunological Algorithm-based Neural Network Learning for Sales Forecasting. - Zhen-Yao Chen; R. J. Kuo 001 (Appl. Artif. Intell., 2015)

Integration of Particle Swarm Optimization and Immune Genetic Algorithm-Based Dynamic Clustering for Customer Clustering. - R. J. Kuo 001; S. H. Lin; Zhen-Yao Chen (Int. J. Artif. Intell. Tools, 2015)

An Integrated Hybrid Algorithm Based on Nature Inspired Evolutionary for Radial Basis Function Neural Network Learning. - Zhen-Yao Chen; R. J. Kuo 001; Tung-Lai Hu (Int. J. Artif. Intell. Tools, 2016)

Integration of fuzzy neural network and artificial immune system-based back-propagation neural network for sales forecasting using qualitative and quantitative data. - R. J. Kuo 001; Y. S. Tseng; Zhen-Yao Chen (J. Intell. Manuf., 2016)

Evolutionary Algorithm-Based Radial Basis Function Neural Network Training for Industrial Personal Computer Sales Forecasting. - Zhen-Yao Chen; R. J. Kuo 001 (Comput. Intell., 2017)

Combining SOM and evolutionary computation algorithms for RBF neural network training. - Zhen-Yao Chen; R. J. Kuo 001 (J. Intell. Manuf., 2019)

Hybridization of Metaheuristic and Population-Based Algorithms with Neural Network Learning for Function Approximation. - Zhen-Yao Chen (ICCCI (CCIS Volume), 2021)

Integration Learning of Neural Network Training with Swarm Intelligence and Meta-heuristic Algorithms for Spot Gold Price Forecast. - Zhen-Yao Chen (Appl. Artif. Intell., 2022)

A Computational Intelligence Hybrid Algorithm Based on Population Evolutionary and Neural Network Learning for the Crude Oil Spot Price Prediction. - Zhen-Yao Chen (Int. J. Comput. Intell. Syst., 2022)

A Hybrid Algorithm by Incorporating Neural Network and Metaheuristic Algorithms for Function Approximation and Demand Prediction Estimation. - Zhen-Yao Chen (CCCE, 2023)

Two-phase optimization modelling with swarm computation and biomimetic intelligence learning for neural network training. - Zhen-Yao Chen (Comput. Ind. Eng., 2025)

Application of Immunological and Swarm Intelligence Learning-Based Algorithm for Industrial Grade Computer Sales Prediction. - Zhen-Yao Chen (Appl. Artif. Intell., 2025)