In order to continuously map desired tool center point TCP movements onto the corre sponding set of joint angles for a DOF robot arm without the need for repeated calculation of the inverse Jacobian we present an adaptive neural network with the following features topographical encoding of the input for smooth interpolation and fast adaptation error driven node allocation for e cent representat...

The objective of this research was to determine the best model and compare performances in terms of producing landuse maps from six supervised classification algorithms. As a result, different algorithms such as the minimum distance ofmean (MDM), Mahalanobis distance (MD), maximum likelihood (ML), artificial neural network (ANN), spectral anglemapper (SAM), and support vector machine (SVM) were...

This paper describes the design of LeviTABLE, an electromagnetic controlled topographical display device. The electromagnets control the movement and displacement of an array of vertical rods. The height of these rods represents individual points of elevation in a landscape. We describe the iterative design and implementation of LeviTABLE, discuss design issues and suggest further research dire...

We review the literature on the reaction of cells to their surrounding topography. The topography may be that of surrounding cells, intercellular materials or biomaterials. The reactions include cell orientation, rates of movement, and activations of the cells. We concentrate on those papers where quantitative measurements of the reactions have been made and largely ignore those on subjective i...

The association between human hippocampal structure and topographical memory was investigated in healthy adults (N = 30). Structural MR images were acquired, and voxel-based morphometry (VBM) was used to estimate local gray matter volume throughout the brain. A complementary automated mesh-based segmentation approach was used to independently isolate and measure specified structures including t...