This paper presents a novel implementation of the RBFDDA (Radial Basis Functions Dynamic Decay Adjustment) neural network. We will investigate the architectural design and the hardware implementation. The features of this design are the possibility of mapping the architecture on different standard cells libraries as well as FPGA's, and mainly its modularization. This is an example which reflect...

This work extends the application of Radial Basis Function (RBF) neural network for the unsupervised classification of images. The radial basis function (RBF) network enables non-linear transformation followed by linear transformation to achieve a higher dimension in the hidden space. If classification is done in a high dimensional space, it is more likely to be linearly separable as compared t...

Transfer functions play a very important role in learning process of neural systems. This paper presents new functions which are more flexible than other functions commonly used in artificial neural networks. The latest improvement added is the ability to rotate the contours of constant values of transfer functions in multidimensional spaces with only N − 1 adaptive parameters. Rotation using f...

In this paper, a novel two-stage Improved Radial Basis Function (IRBF) neural network technique is proposed to predict the joint damage of a fifty member frame structure with semi-rigid connections in both frequency and time domain. The effective input patterns as normalized design signature indices (NDSIs) in frequency domain and acceleration responses in time domain are simulated numerically ...

Various gender classification methods have been reported in the literature. These existing methods fall into two categories. The first kind of method is the appearance-based approach. Golomb et al. [1] used a two-layer neural network with 30 × 30 inputs and directly fed the scaled image pixels to the network without dimensionality reduction. Their database contains only 90 images with half male...

Artificial intelligence (AI) and machine learning (ML) have influenced every part of our day-to-day activities in this era technological advancement, making a living more comfortable on the earth. Among several AI ML algorithms, support vector (SVM) has become one most generally used algorithms for data mining, prediction other (AI ML) domains. The SVM’s performance is significantly centred ker...

Based on the radial basis functions (RBF) and T-Trefftz solution, this paper presents a new meshless method for numerically solving various partial differential equation systems. First, the analog equation method (AEM) is used to convert the original patial differential equation to an equivalent Poisson’s equation. Then, the radial basis functions (RBF) are employed to approxiamate the inhomoge...

Background: Alzheimer's disease (AD) is the most common disorder of dementia, which has not been cured after its occurrence. AD progresses indiscernible, first destroy the structure of the brain and subsequently becomes clinically evident. Therefore, the timely and correct diagnosis of these structural changes in the brain is very important and it can prevent the disease or stop its progress. N...