Proximity fuzzy clustering and its application to time series clustering and prediction
A new time series prediction architecture is introduced using a fuzzy inference system (FIS)
and a new framework for fuzzy relational clustering of time series. The FIS is used to predict …
and a new framework for fuzzy relational clustering of time series. The FIS is used to predict …
A hidden Markov support vector machine framework incorporating profile geometry learning for identifying microbial RNA in tiling array data
Motivation: RNA expression signals detected by high-density genomic tiling microarrays
contain comprehensive transcriptomic information of the target organism. Current methods …
contain comprehensive transcriptomic information of the target organism. Current methods …
[PDF][PDF] 局域支持向量回归与误差区间估计的概率预报方法及其应用研究
张永明， 邓盛川， 齐维贵 - 电子学报, 2010 - ejournal.org.cn
针对工程应用对预报技术要求的不断提高以及现有预报方法存在的问题, 本文提出了一种局域
支持向量回归(Local Support Vector Regression, LSVR) 和误差区间估计相结合的概率预报 …
支持向量回归(Local Support Vector Regression, LSVR) 和误差区间估计相结合的概率预报 …
Application of local linear neuro-fuzzy model in prediction of mean arterial blood pressure time series
A Janghorbani, A Arasteh… - 2010 17th Iranian …, 2010 - ieeexplore.ieee.org
Predicting the future behavior of human's biosignals can help clinicians to prevent
occurrence of physiological disorders such as hypotension, hypertension, epilepsy, etc. In …
occurrence of physiological disorders such as hypotension, hypertension, epilepsy, etc. In …