this paper extends the sequential learning algorithm strategy of two different types of adaptive radial basis function-based (rbf) neural networks, i.e. growing and pruning radial basis function (gap-rbf) and minimal resource allocation network (mran) to cater for on-line identification of non-linear systems. the original sequential learning algorithm is based on the repetitive utilization of s...

With the aim of developing an accurate pathological brain detection system, we proposed a novel automatic computer-aided diagnosis (CAD) to detect pathological brains from normal brains obtained by magnetic resonance imaging (MRI) scanning. The problem still remained a challenge for technicians and clinicians, since MR imaging generated an exceptionally large information dataset. A new two-step...

Recently, inspired by correntropy, kernel risk-sensitive loss (KRSL) has emerged as a novel nonlinear similarity measure defined in kernel space, which achieves a better computing performance. After applying the KRSL to adaptive filtering, the corresponding minimum kernel risk-sensitive loss (MKRSL) algorithm has been developed accordingly. However, MKRSL as a traditional kernel adaptive filter...

As a kernel independent algorithm, multilevel Green’s function interpolation method (MLGFIM) [1] [2] has been developed for electromagnetic problems from low frequency to fullwave simulation. This method inherits the multilevel tree structure of multilevel fast multipole algorithm (MLFMA) and adopts the interpolation technique of pre-corrected fast Fourier transform (PFFT). Compare with other f...

Data sharing is challenging but important for healthcare research. Methods for privacy-preserving data dissemination based on the rigorous differential privacy standard have been developed but they did not consider the characteristics of biomedical data and make full use of the available information. This often results in too much noise in the final outputs. We hypothesized that this situation ...

At present, the surface quality of Yuba skin is determined by sensory methods. In order to realize intelligent classification detection quality, this study designed a system that automatically determines surfaces based on image processing and support vector machine (SVM) approaches. Specifically, uses preprocessing extract grayscale eigenvalues, gray level co-occurrence matrix (GLCM) run length...

The real-life signals captured by different measurement systems (such as modern maritime transport characterized challenging and varying operating conditions) are often subject to various types of noise other external factors in the data collection transmission processes. Therefore, filtering algorithms required reduce level measured signals, thus enabling more efficient extraction useful infor...

In the classical Gaussian SVM classification we use the feature space projection transforming points to normal distributions with fixed covariance matrices (identity in the standard RBF and the covariance of the whole dataset in Mahalanobis RBF). In this paper we add additional information to Gaussian SVM by considering local geometry-dependent feature space projection. We emphasize that our ap...

Scheme identification system is required to improve the socio-economic status of marginalized people. The absence technological innovations creates more complications during online scheme identifications for development In order increases service availability people, a proposed. this, previous beneficiary data collected from Kerala state SC, women and Handicapped Persons cooperation are used. S...