Evolutionary optimized fuzzy reasoning with mined diagnostic patterns for classification of breast tumors in ultrasound
Abstract Computer-aided-diagnostic (CAD) techniques are of great help in facilitating the
diagnosis of breast ultrasound (BUS) images. Conventional CAD approaches segment the …
diagnosis of breast ultrasound (BUS) images. Conventional CAD approaches segment the …
A novel spatio-temporal fuzzy inference system (SPATFIS) and its stability analysis
Modeling an online time series problem is often a challenging task because of the intrinsic
dynamical characteristics of the underlying data distribution and the uncertainty stemming …
dynamical characteristics of the underlying data distribution and the uncertainty stemming …
Interval prediction of wave energy characteristics using meta-cognitive interval type-2 fuzzy inference system
While significant efforts for online learning have been devoted to arrive at reliable
predictions of crisp values, the problem of prediction interval (PI) in practical data is one of …
predictions of crisp values, the problem of prediction interval (PI) in practical data is one of …
Learning elastic memory online for fast time series forecasting
It is well known that any kind of time series algorithm requires past information to model the
inherent temporal relationship between past and future. This temporal dependency (ie …
inherent temporal relationship between past and future. This temporal dependency (ie …
A dual network solution (DNS) for lag-free time series forecasting
When it comes to time series forecasting, lag in the predicted sequence can be a
predominant issue. Unfortunately, this is often overlooked in most of the time series literature …
predominant issue. Unfortunately, this is often overlooked in most of the time series literature …
Wave forecasting using meta-cognitive interval type-2 fuzzy inference system
Renewable energy is fast becoming a mainstay in today's energy scenario. One of the
important sources of renewable energy is the wave energy, in addition to wind, solar, tidal …
important sources of renewable energy is the wave energy, in addition to wind, solar, tidal …
Meta-cognition-based simple and effective approach to object detection
Recently, many researchers have attempted to improve deep learning-based object
detection models, both in terms of accuracy and operational speeds. However, frequently …
detection models, both in terms of accuracy and operational speeds. However, frequently …
A fully tuned sequential interval type-2 fuzzy inference system for motor-imagery task classification
In this paper, we propose an interval type-2 fuzzy inference system using Extended Kalman
Filter based learning algorithm. It is referred to as IT2FIS-EKF. This algorithm realizes the …
Filter based learning algorithm. It is referred to as IT2FIS-EKF. This algorithm realizes the …
Wind speed intervals prediction using meta-cognitive approach
In this paper, an interval type-2 neural fuzzy inference system and its meta-cognitive
learning algorithm for wind speed prediction is proposed. Interval type-2 neuro-fuzzy system …
learning algorithm for wind speed prediction is proposed. Interval type-2 neuro-fuzzy system …
Uniform design-based interval type-2 neuro-fuzzy system and its performance verification
S Huang, G Zhao, M Chen - International Journal of Fuzzy Systems, 2018 - Springer
In this paper, an interval type-2 neuro-fuzzy system with uniform design-based rule
generation approach is proposed, and Begian–Melek–Mendel method is used for …
generation approach is proposed, and Begian–Melek–Mendel method is used for …