A multi-disciplinary review of knowledge acquisition methods: From human to autonomous eliciting agents
This paper offers a multi-disciplinary review of knowledge acquisition methods in human
activity systems. The review captures the degree of involvement of various types of agencies …
activity systems. The review captures the degree of involvement of various types of agencies …
Secure authentication-management human-centric scheme for trusting personal resource information on mobile cloud computing with blockchain
The recent advances in information technology for mobile devices have increased the work
efficiency of users, the mobility of compact mobile devices, and the convenience of location …
efficiency of users, the mobility of compact mobile devices, and the convenience of location …
Sales forecasting by combining clustering and machine-learning techniques for computer retailing
IF Chen, CJ Lu - Neural Computing and Applications, 2017 - Springer
Sales forecasting is a critical task for computer retailers endeavoring to maintain favorable
sales performance and manage inventories. In this study, a clustering-based forecasting …
sales performance and manage inventories. In this study, a clustering-based forecasting …
The growing hierarchical neural gas self-organizing neural network
EJ Palomo, E López-Rubio - IEEE transactions on neural …, 2016 - ieeexplore.ieee.org
The growing neural gas (GNG) self-organizing neural network stands as one of the most
successful examples of unsupervised learning of a graph of processing units. Despite its …
successful examples of unsupervised learning of a graph of processing units. Despite its …
Automatic equipment fault fingerprint extraction for the fault diagnostic on the batch process data
Equipment condition monitoring in semiconductor manufacturing requires prompt, accurate,
and sensitive detection and classification of equipment and process faults. Efficient and …
and sensitive detection and classification of equipment and process faults. Efficient and …
An adjustable grouping genetic algorithm for the design of cellular manufacturing system integrating structural and operational parameters
This paper presents non-linear and linear formulations for the design of a Cellular
Manufacturing Systems (CMS) modeled integrating structural and operational decision …
Manufacturing Systems (CMS) modeled integrating structural and operational decision …
Position tracking of a 3-PSP parallel robot using dynamic growing interval type-2 fuzzy neural control
SF Toloue, MR Akbarzadeh, A Akbarzadeh… - Applied Soft …, 2015 - Elsevier
Parallel robots have complicated structures as well as complex dynamic and kinematic
equations, rendering model-based control approaches as ineffective due to their high …
equations, rendering model-based control approaches as ineffective due to their high …
Exploring asymmetric behavior pattern from Indian oil products prices using NARDL and GHSOM approaches
M Chattopadhyay, SK Mitra - Energy Policy, 2015 - Elsevier
The present work endeavors to explore the potential asymmetries in the pricing of oil
products in India where prices are not only affected by the crude oil price changes in the …
products in India where prices are not only affected by the crude oil price changes in the …
[图书][B] Simulation and Computational Red Teaming for Problem Solving
An authoritative guide to computer simulation grounded in a multi-disciplinary approach for
solving complex problems Simulation and Computational Red Teaming for Problem Solving …
solving complex problems Simulation and Computational Red Teaming for Problem Solving …
A taxonomy of manufacturing strategies and production systems using self-organizing map
A Pooya, M Faezirad - Journal of Industrial and Production …, 2017 - Taylor & Francis
The purpose of this study is to identify taxonomy of manufacturing strategies from
manufacturing competitive priorities, and taxonomy of production processes from production …
manufacturing competitive priorities, and taxonomy of production processes from production …