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For the life cycle of products, the global unified multidisciplinary model is the core of the simulation optimization. It can effectively organize relative information, manufacturing resources and processes within the life cycle of products. The information has some differences in the content, format and pattern. So a consistent approach to describe the data and data relationships is needed. Using...
This paper presents an application of a neuro-fuzzy modeling approach in order to characterize essential behavior of biological processes. The gathered information from experiments was employed to develop a fuzzy model for an enzyme-catalyzed esterification process. The accuracy of developed model was validated by comparing the response of the model and actual data from experiments. A model-based...
In this paper, the method that measuring dataset of knitted yarns is clustered using improving fuzzy kernel c-Means (FKCM) clustering algorithm is proposed. In FKCM clustering algorithm, the data of low dimension input space is mapped to high dimension feature space, FCM clustering algorithm is performed in feature space, then the constraint optimization distance matrix and membership matrix of testing...
Mechanical products normally consist of multi-parameter mechanisms. The uncertain factors resulted from the quantity of parameters and complicity of inter-relations shall give rise to problems of large dimensional arrays. Moreover, optimal models often contain functions of distinctive property, therefore feasible optimal methods are hard to find. On the basis of analyzing the optimal design methods...
Powered by the simulation and optimization engines resulting from recent research, a computer system named HKCONSIM is ready to provide concrete plant managers with decision support in making the best operation strategy for delivering concrete to multiple site clients. This paper demonstrates case studies of HKCONSIM applications in practical settings with emphasis on addressing two questions: (1)...
In this paper, an intelligent model constructed with fuzzy TS dynamic nonlinear autoregressive with exogenous input (NARX) is introduced for process state identification and behavior prediction for complex processes. In the model, fuzzy neural networks (FNNs) are applied as process state classifiers for process state (fault) detection. An optimization schemes are also investigated for model adaptability...
In this paper the Product Mix optimization is considered using the Takagi-Sugeno Method. The fuzzy inference system, implemented in the frame work of adaptive networks, is through soft computing. The system uses an architecture called Adaptive-Network-based Fuzzy Inference System (ANFIS), which generates a set of fuzzy if-then rules (human knowledge or natural language) with an appropriate membership...
A distributed and integrated framework for missile design and manufacturing is developed in this study, using multidisciplinary optimization and workflow technology. The framework contains technologies of application integration, information integration and process integration. It can reduce the complexity of data exchange among disciplines, shorten the product development cycle and cut down the cost...
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