This paper explores the use of a model neural network for motor learning. Steinbuch and Taylor presented neural network designs to do nearest neighbor lookup in the early 1960s. In this paper their nearest neighbor network is augmented with a local model network, which fits a local model to a set of nearest neighbors. The network design is equivalent to local regression. This network architectu...

the shape of a submerged vane is a major factor in the design of a vane system and affects the performance and secondary currents generated by the vanes. this study investigated the effect of five vane shapes on bed sediment processes (local scour at the leading edge and transverse distribution of sediment downstream of the vanes) at four flow intensities for a total of 20 experiments. the resu...

water resources local governance can is one of the most influential collaborative approach in the water resources management. social monitoring of local stakeholders plays an important role in planning, resources management and water efficient governance. therefore to achieve this goal, social network analysis has been considered as an approach of analysis of the relationship among local stakeh...

in this paper we proposed a cellular automaton based local algorithm to solve the autonomously sensor gathering problem in mobile wireless sensor networks (mwsn). in this problem initially the connected mobile sensors deployed in the network and goal is gather all sensors into one location. the sensors decide to move only based on their local information. cellular automaton (ca) as dynamical sy...

Speech Emotion Recognition (SER) is an important part of speech-based Human-Computer Interface (HCI) applications. Previous SER methods rely on the extraction of features and training an appropriate classifier. However, most of those features can be affected by emotionally irrelevant factors such as gender, speaking styles and environment. Here, an SER method has been proposed based on a concat...

The human brain is a complex network of connected neurons whose dynamics are difficult to describe. Brain the global manifestation individual neuron and synaptic coupling between neurons. Membrane potential function electrophysiological coupling, with parameters postsynaptic potential, action ion pump dynamics. By modelling using physical laws time evolution membrane energy, can be described. T...