Adapted techniques of explainable artificial intelligence for explaining genetic algorithms on the example of job scheduling

YC Wang, T Chen - Expert Systems with Applications, 2024 - Elsevier
Many evolutionary artificial intelligence (AI) technologies have been applied to assist with
job scheduling in manufacturing. One of the main approaches is genetic algorithms (GAs) …

A new intrusion detection system based on fast learning network and particle swarm optimization

MH Ali, BAD Al Mohammed, A Ismail, MF Zolkipli - IEEE Access, 2018 - ieeexplore.ieee.org
Supervised intrusion detection system is a system that has the capability of learning from
examples about the previous attacks to detect new attacks. Using artificial neural network …

[HTML][HTML] A systematic approach to enhance the explainability of artificial intelligence in healthcare with application to diagnosis of diabetes

YC Wang, TCT Chen, MC Chiu - Healthcare Analytics, 2023 - Elsevier
Explainable artificial intelligence (XAI) tools are used to enhance the applications of existing
artificial intelligence (AI) technologies by explaining their execution processes and results. In …

A two-stage explainable artificial intelligence approach for classification-based job cycle time prediction

T Chen, YC Wang - The International Journal of Advanced Manufacturing …, 2022 - Springer
Recently, many methods based on artificial neural networks (ANNs) or deep neural
networks (DNNs) have been proposed to accurately predict the cycle time of a job. However …

Explainable artificial intelligence (XAI) in manufacturing

TCT Chen - … Intelligence (XAI) in Manufacturing: Methodology, Tools …, 2023 - Springer
This chapter begins by defining explainable artificial intelligence (XAI). A procedure for
implementing XAI was also established. Then, through literature analysis, the application of …

Mathematical modeling: the case of emergency department waiting times

ME Lim, T Nye, JM Bowen, J Hurley… - International journal of …, 2012 - cambridge.org
A decision analytic model often comprises a significant part of a health technology
assessment. As health technology assessment in the hospital setting evolves, there is an …

Applications of XAI for forecasting in the manufacturing domain

TCT Chen - … Intelligence (XAI) in Manufacturing: Methodology, Tools …, 2023 - Springer
This chapter focuses on forecasting, which is an important function of manufacturing
systems. Many operations and production activities such as cycle time forecasting, sales …

Fast learning network: a novel artificial neural network with a fast learning speed

G Li, P Niu, X Duan, X Zhang - Neural Computing and Applications, 2014 - Springer
This paper proposes a novel artificial neural network called fast learning network (FLN). In
FLN, input weights and hidden layer biases are randomly generated, and the weight values …

Least Square Fast Learning Network for modeling the combustion efficiency of a 300WM coal-fired boiler

G Li, P Niu, H Wang, Y Liu - Neural Networks, 2014 - Elsevier
This paper presents a novel artificial neural network with a very fast learning speed, all of
whose weights and biases are determined by the twice Least Square method, so it is called …

Harris hawk optimization trained artificial neural network for anomaly based intrusion detection system

L Narengbam, S Dey - Concurrency and Computation: Practice …, 2023 - Wiley Online Library
An integral part of security infrastructure is detecting and identifying malicious attacks
commonly found in network environments. Despite its effectiveness at identifying anomalous …