… The original snake requires expert guidance on the snake initialization and the selection
of correct deformation parameters. And the capture range of the original snake is small. The …

… Gaussian controller whose parameters can be automatically tuned. … other parameters, nor
explained how parameter initialization is … Adaptive neuro-fuzzy predictive control for design of …

… Gaussian controller whose parameters can be automatically tuned. … other parameters, nor
explained how parameter initialization is … Adaptive neuro-fuzzy predictive control for design of …

… To deal with the problem, a new approach to determine interruption cost based on adaptive
neuro fuzzy inference system (ANFIS) model is presented in this study. The objective of …

… are used as an adaptive threshold for selecting the proper gesture model or spotting
meaningful gestures. The proposed techniques can automatically recognize posture, isolated and …

… Models like back propagation neural network, support vector machine (SVM), adaptive
neuro… This characteristic is suitable for selecting the two-input delay. Parameters p and q of the …

… Table 4.2 : An example table for selecting the best hype parameter combination. 87 Table 4.3
: … There are many methods in the literature that apply automatic channel selection methods …

针对真彩色微血管减压图像实时语义分割网络参数量大, 语义分割精度低的问题, 本文提出了一种
适用于微血管减压场景的U 型轻量级快速语义分割网络U-MVDNet (U-Shaped Microvascular …

… the study of EEG signals, and the automatic detection of EEG signal has been deeply concerned
… Adaptive weight plays a key role in model structure. Hussein et al. [26] selected features …

… brain-inspired rules (that are carefully selected) introduced in this paper are incorporated into
… In this paper, the number of neurons will increase or decrease automatically based on the …