The error backpropagation (EBP) algorithm for training feedforward multilayer perceptron (FMLP) has been used in many applications because it is simple and easy to implement. However, its gradient descent method prevents EBP algorithm from converging fast. To overcome the slow convergence of EBP algorithm, the second order methods have adapted. Levenberg-Marquardt (LM) algorithm is estimated to...

Transendothelial impedance across an endothelial monolayer grown on a microelectrode has previously been modeled as a repeating pattern of disks in which the electrical circuit consists of a resistor and capacitor in series. Although this numerical model breaks down barrier function into measurements of cell-cell adhesion, cell-matrix adhesion, and membrane capacitance, such solution parameters...

In this paper, force sensor signals are classified using a pattern recognition neural network (PRNN). The to show if there is collision or not. our previous work, the joints positions of 2-DOF robot were used estimate external signal, which was attached at end-effector, and joint torques based on multilayer feedforward NN (MLFFNN). current estimated signal joints’ from work as inputs proposed d...

Incorporating higher-order optimization functions, such as Levenberg–Marquardt (LM) have revealed better generalizable solutions for deep learning problems. However, these functions suffer from very large processing time and training complexity especially datasets become large, in multi-view classification problems, where finding global optima is a costly problem. To solve this issue, we develo...

The fluxgate magnetometer has the advantages of having a small volume and low power consumption being light weight is commonly used to detect weak magnetic targets, including ferrous metals, unexploded bombs (UXOs), underground corrosion pipelines. However, detection accuracy affected by its own error. To obtain more accurate data, sensor must be error-corrected before application. Previous res...

This study develops a new approach for forecasting shear Strength of concrete beam without stirrups based on the artificial neural networks (ANN). Proposed ANN considers geometric and mechanical properties of cross section and FRP bars, and shear span-depth ratio. The ANN model is constructed from a set of experimental database available in the past literature. Efficiency of the ANN model was c...

A novel hybrid method for tracking multiple indistinguishable maneuvering targets using a wireless sensor network is introduced in this paper. The problem of tracking the location of targets is formulated as a Maximum Likelihood Estimation. We propose a hybrid optimization method, which consists of an iterative and a heuristic search method, for finding the location of targets simultaneously. T...

With the innovation of cloud computing industry lots of services were provided based on different deployment criteria. Nowadays everyone tries to remain connected and demand maximum utilization of resources with minimum timeand effort. Thus, making it an important challenge in cloud computing for optimum utilization of resources. To overcome this issue, many techniques have been proposed ...