This paper describes the dynamic control of a 3 degree of freedom (DOF) finger emulating a human finger for reaching a desired fingertip position in space. The control consists of a neural network (NN) which provides the necessary three torques to the phalanges granting a smooth “natural” speed profile of the fingertip motion. To obtain the results, we face these problems: 1) the elimination of...

In this paper a Neural Networks (NN) is proposed for transient stability prediction. Transient stability of a power system is first determined based on the generator relative rotor angles procured from time domain simulation outputs. Simulations were carried out on a single machine infinite bus system by considering three phase short circuit fault on the system. The data collected from the time...

Weather forecasting systems require a model for the time evolution and an estimate of the current state of the system. Data assimilation provides such an initial estimate of the atmosphere where it combines information from observations and from a prior short-term forecast producing an current state estimate. An Artificial Neural Network (ANN) is designed for data assimilation. The use of obser...

Vehicular Visible Light Communication (VVLC) is preferred as a vehicle to everything (V2X) communications scheme due its highly secure, low complexity and radio frequency (RF) interference free characteristics, exploiting the line of sight (LoS) propagation visible light usage already existing emitting diodes (LEDs). Current VVLC channel models based on deterministic stochastic methods provide ...

<span lang="EN-US">Recently, navigation in an unknown environment without hitting obstacles was considered a big challenge faced by researchers. The difficulty finding good mathematical model for the different systems is deciding to use artificial intelligent controllers control mobile robot movement. In this paper, designing two multi-layer-perceptron neural networks (MLP-NN) done moveme...

Classification of breast abnormalities such as masses is a challenging task for radiologists. Computer-aided Diagnosis (CADx) technology may enhance the performance of radiologists by assisting them in classifying patterns into benign and malignant categories. Although Neural Networks (NN) such as Multilayer Perceptron (MLP) have drawbacks, namely long training times, a considerable number of C...

In this paper, a new neural network paradigm and its application to recognition of speech patterns is presented. The novel NN paradigm is a multilayer version of the well-known LVQ algorithm from Kohonen. The approach includes the following innovations and improvements compared to other popular neural network paradigms: 1) It is according to the knowledge of the author the first multilayer vers...

An Artificial Neural Network (ANN) is designed to investigate its application for data assimilation. This procedure provides an appropriated initial condition to the atmosphere to weather forecasting. Data assimilation is a method to insert observational information into a physicalmathematical model. The goal here is the process for assimilating meteorological observations. The numerical experi...

Speaker Recognition is a challenging task and is widely used in many speech aided applications. This study proposes a new Neural Network (NN) model for identifying the speaker, based on the acoustic features of a given speech sample extracted by applying wavelet transform on raw signals. Wrapper based feature selection applies dimensionality reduction by kernel PCA and ranking by Info gain. Onl...