Self-reorganizing TSK fuzzy inference system with BCM theory of meta-plasticity
The usage of online learning technique in neuro-fuzzy system (NFS) to address system variance is more prevalent in recent times. Since a lot of external factors have an effect on time-variant datasets, these datasets tend to experience changes in their pattern. While small changes (“drifts”) can be...
محفوظ في:
المؤلفون الرئيسيون: | Jacob, Biju Jaseph, Cheu, Eng Yeow, Tan, Javan, Quek, Chai |
---|---|
مؤلفون آخرون: | School of Computer Engineering |
التنسيق: | Conference or Workshop Item |
اللغة: | English |
منشور في: |
2013
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://hdl.handle.net/10356/98222 http://hdl.handle.net/10220/12416 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
المؤسسة: | Nanyang Technological University |
اللغة: | English |
مواد مشابهة
-
A self-reorganizing neuro-fuzzy associative machine for algorithmic financial time-series modeling
بواسطة: Tan, Javan Wi-Meng
منشور في: (2015) -
Parametric conditions for a Monotone TSK Fuzzy Inference System to be an n-ary Aggregation Function
بواسطة: Yi Wen Kerk, وآخرون
منشور في: (2020) -
Generic self-evolving TSK fuzzy neural network with rough set (GSETSK+RS)
بواسطة: Qiu, Huiqian
منشور في: (2021) -
BUSINESS CONTINUITY MANAGEMENT (BCM) AND BCM CRITICAL SUCCESS FACTORS
بواسطة: CHEN KUN HAN
منشور في: (2021) -
ARPOP : an Appetitive Reward-based Pseudo-Outer-Product neural fuzzy inference system inspired from the operant conditioning of feeding behavior in Aplysia
بواسطة: Cheu, Eng Yeow, وآخرون
منشور في: (2013)