Artificial intelligence in advanced manufacturing: Current status and future outlook
Today's manufacturing systems are becoming increasingly complex, dynamic, and
connected. The factory operations face challenges of highly nonlinear and stochastic activity …
connected. The factory operations face challenges of highly nonlinear and stochastic activity …
Applications of neural networks in manufacturing: a state-of-the-art survey
HC Zhang, SH Huang - The International Journal of Production …, 1995 - Taylor & Francis
Artificial intelligence has been claimed to yield revolutionary advances in manufacturing.
While most of the survey papers about artificial intelligence in manufacturing have been …
While most of the survey papers about artificial intelligence in manufacturing have been …
Artificial neural networks in manufacturing: concepts, applications, and perspectives
SH Huang, HC Zhang - IEEE Transactions on Components …, 1994 - ieeexplore.ieee.org
New approaches and techniques are continuously and rapidly introduced and adopted in
today's manufacturing environment. Recently, there has been an explosion of interest in …
today's manufacturing environment. Recently, there has been an explosion of interest in …
Neural-expert hybrid approach for intelligent manufacturing: a survey
SH Huang, HC Zhang - Computers in Industry, 1995 - Elsevier
The development of computer-aided manufacturing systems is evolving towards that of
intelligent manufacturing systems (IMS). In an intelligent manufacturing system …
intelligent manufacturing systems (IMS). In an intelligent manufacturing system …
Static neural network process models: considerations and case studies
Neural networks are beginning to be used for the modelling of complex manufacturing
processes, usually for process and quality control. Often these models are used to identify …
processes, usually for process and quality control. Often these models are used to identify …
Lift coefficient prediction at high angle of attack using recurrent neural network
In this paper, identification of dynamic stall effect of rotor blade is considered. Recurrent
Neural Networks have the ability to identify the nonlinear dynamical systems from training …
Neural Networks have the ability to identify the nonlinear dynamical systems from training …
The optimisation of neural network parameters using Taguchi's design of experiments approach: an application in manufacturing process modelling
W Sukthomya, J Tannock - Neural Computing & Applications, 2005 - Springer
Neural networks have been widely used in manufacturing industry, but they suffer from a
lack of structured method to determine the settings of NN design and training parameters …
lack of structured method to determine the settings of NN design and training parameters …
Multi-objective genetic algorithm optimization of artificial neural network for estimating suspended sediment yield in Mahanadi River basin, India
A Yadav, P Satyannarayana - International Journal of River basin …, 2020 - Taylor & Francis
Rivers are an integral part of the hydrological cycle and are the major geological agents
which erode the continents and transport water and sediments to the oceans. Thus rivers act …
which erode the continents and transport water and sediments to the oceans. Thus rivers act …
[图书][B] Computational intelligence in manufacturing handbook
Despite the large volume of publications devoted to neural networks, fuzzy logic, and
evolutionary programming, few address the applications of computational intelligence in …
evolutionary programming, few address the applications of computational intelligence in …
Due date assignment using artificial neural networks under different shop floor control strategies
SY Hsu, DY Sha - International Journal of Production Research, 2004 - Taylor & Francis
Due date assignment (DDA) is the first important task in shop floor control. Due date-related
performance is impacted by the quality of the DDA rules. Assigning order due dates and …
performance is impacted by the quality of the DDA rules. Assigning order due dates and …