Computer
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Evolving fuzzy neural networks for supervised/unsupervised onlineknowledge-based learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
Neural Information Processing
Transductive-Weighted Neuro-Fuzzy Inference System for Tool Wear Prediction in a Turning Process
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
A new method for design and reduction of neuro-fuzzy classification systems
IEEE Transactions on Neural Networks
DMCS: Dual-Model Classification System and Its Application in Medicine
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Ontology Based Personalized Modeling for Type 2 Diabetes Risk Analysis: An Integrated Approach
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Ontology based personalized modeling for chronic disease risk analysis: an integrated approach
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Personalized modeling based gene selection for microarray data analysis
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
A transductive neuro-fuzzy controller: application to a drilling process
IEEE Transactions on Neural Networks
Machine Learning and Personalized Modeling for Diagnosis of Acute GvHD: an Integrated Approach
Proceedings of the 2011 conference on Neural Nets WIRN10: Proceedings of the 20th Italian Workshop on Neural Nets
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Personalised modelling on SNPs data for crohn's disease prediction
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process
Journal of Intelligent Manufacturing
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This paper introduces a novel transductive neuro-fuzzy inference model with weighted data normalization (TWNFI). In transductive systems a local model is developed for every new input vector, based on a certain number of data that are selected from the training data set and the closest to this vector. The weighted data normalization method (WDN) optimizes the data normalization ranges of the input variables for the model. A steepest descent algorithm is used for training the TWNFI models. The TWNFI is compared with some other widely used connectionist systems on two case study problems: Mackey-Glass time series prediction and a real medical decision support problem of estimating the level of renal function of a patient. The TWNFI method not only results in a ''personalized'' model with a better accuracy of prediction for a single new sample, but also depicts the most significant input variables (features) for the model that may be used for a personalized medicine.