<span lang="EN-US">In this work, the indicators of electrical power network stability and voltage (VS) are discussed developed with aim using a transfer index (PTSI) indicator as predictor for in networks. The was thus used to detect abnormally weak voltages buses within such system networks (weak). target data obtained Newton Raphson method (NR) include magnitude, phase angle, active rea...

This paper proposes a neural controller to guide a nonholonomic mobile robot during trajectory tracking. The structure of the controller used consists of two models that describe the kinematical mobile robot system. These models are modified Elman neural networks (MENN) and feed forward multi-layer perceptron (MLP). The modified Elman neural networks model is trained with two stages; off-line a...

Transplantation of neural stem/progenitor cells (NPC) holds potential to improve functional outcomes in various neurological disorders. It seems more difficult than previously envisioned, however, to functionally replace the lost neural cells by grafted NPCs. A lack of appropriate developmental cues in the injured tissue contributes to the failure to guide the NPCs to survive, differentiate, gr...

The problem of automatically generating a computer program from some specification has been studied since the early days of AI. Recently, two competing approaches for automatic program learning have received significant attention: (1) neural program synthesis, where a neural network is conditioned on input/output (I/O) examples and learns to generate a program, and (2) neural program induction,...

In this paper we describe an improved neural network method to predict T-cell class I epitopes. A novel input representation has been developed consisting of a combination of sparse encoding, Blosum encoding, and input derived from hidden Markov models. We demonstrate that the combination of several neural networks derived using different sequence-encoding schemes has a performance superior to ...

Recent researches on neural network have shown great advantage in computer vision over traditional algorithms based on handcrafted features and models. Neural network is now widely adopted in regions like image, speech and video recognition. But the great computation and storage complexity of neural network based algorithms poses great difficulty on its application. CPU platforms are hard to of...

conclusions we found the magnetic field assistant device to be an accurate, radiation-independent jig for close passing of guide wire after close reduction of femoral fracture. it can reduce the need for radiation during placement of guide wire for closed intramedullary nailing of the long bones. more studies are required to improve and evaluate the technique and equipment. results outcomes of ...

This paper introduces GNARL, an evolutionary program which induces recurrent neural networks that are structurally unconstrained. In contrast to constructive and destructive algorithms, GNARL employs a population of networks and uses a fitness function’s unsupervised feedback to guide search through network space. Annealing is used in generating both gaussian weight changes and structural modif...

The memory consolidation hypothesis proposed 100 years ago by Müller and Pilzecker continues to guide memory research. The hypothesis that new memories consolidate slowly over time has stimulated studies revealing the hormonal and neural influences regulating memory consolidation, as well as molecular and cellular mechanisms. This review examines the progress made over the century in understand...

The author’s laboratory studies the neural basis of learning and decisionmaking using a combination of techniques from neuroscience, economics and psychology. Behavioral studies of decision-making in both human and non-human primates guide physiological experiments using single neuron recording and functional magnetic resonance imaging. The goal of the laboratory is to achieve an interdisciplin...