T
Tzu-An Chiang
Researcher at National Taipei University of Business
Publications - 35
Citations - 484
Tzu-An Chiang is an academic researcher from National Taipei University of Business. The author has contributed to research in topics: New product development & Product lifecycle. The author has an hindex of 11, co-authored 30 publications receiving 420 citations. Previous affiliations of Tzu-An Chiang include National Tsing Hua University & National Pingtung Institute of Commerce.
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Journal Article
Feed-forward neural networks training: a comparison between genetic algorithm and back-propagation learning algorithm
TL;DR: This study discusses the advantages and characteristics of the genetic algo- rithm and back-propagation neural network to train a feed-forward Neural network to cope with weighting adjustment problems and proves that the back- PropagationNeural network yields better outcomes than the genetic algorithm.
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A fuzzy robust evaluation model for selecting and ranking NPD projects using Bayesian belief network and weight-restricted DEA
Tzu-An Chiang,Z. H. Che +1 more
TL;DR: This study applies the fuzzy analytical hierarchy procedure (AHP) and fuzzy data envelopment analysis (DEA) to develop an evaluation and ranking methodology, assisting decision makers to select NPD projects with development potential and high added value.
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Development of value chain collaborative model for product lifecycle management and its LCD industry adoption
Tzu-An Chiang,Amy J.C. Trappey +1 more
TL;DR: A conceptual architecture of the PLM for LCD collaborative product commerce (CPC) is depicted and important modules of PLM supporting key activities of LCD industry's value system are listed.
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Ontology-based neural network for patent knowledge management in design collaboration
TL;DR: This research develops a novel knowledge management approach using ontology-based artificial neural network (ANN) algorithm to automatically classify and search knowledge documents stored in huge online patent corpuses to gain valuable and practical references for the collaborative networks of technology-centric product and production development teams.
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A decision-making methodology for low-carbon electronic product design
Tzu-An Chiang,Z.H. Che +1 more
TL;DR: An evaluation model of low-carbon design alternative combinations is created in order to assess their performance and a multi-objective genetic algorithm is employed to determine an optimal low- carbon design alternative combination satisfying the CF constraint of a new product and minimizing the design time and cost.