We study neural network models that learn location invariant orthographic representations for printed words. We compare two model architectures: with and without a hidden layer. We find that both architectures succeed in learning the training data and in capturing benchmark phenomena of skilled reading – transposed-letter and relative-position priming. Networks without a hidden layer use a stra...

We propose models and a method to qualitatively explain the receptive field properties of complex cells in the primary visual cortex. We apply a learning method based on the information maximization principle in a feedforward network, which comprises an input layer of image patches, simple cell-like first-output-layer neurons, and second-output-layer neurons (Model 1). The information maximizat...

Due to the large number of parameters and heavy computation, real-time operation deep learning in low-performance embedded board is still difficult. Network Pruning one effective methods reduce without additional network structure modification. However, conventional method prunes redundant up same rate for all layers. It may cause a bottleneck problem, which leads performance degradation, becau...

A modular simulation system (MSS) for the scheduling of semiconductor wafer fabrication facilities (fabs) is discussed. Firstly, the general structure model (GSM) for modeling a semiconductor wafer fab, composed of a configurable definition layer, a physical layer, a process information layer and a scheduling layer, is proposed. Secondly, a data-based dynamic modeling method is given. Thirdly, ...

We study a model of neuronal specialization using a policy gradient reinforcement approach. (1) The neurons stochastically fire according to their synaptic input plus a noise term; (2) The environment is a closed-loop system composed of a rotating eye and a visual punctual target; (3) The network is composed of a foveated retina, a primary layer and a motoneuron layer; (4) The reward depends on...

We consider the cross-layer design considering physical layer, MAC layer, and network layer to maximize the lifetime of energy-constrained wireless sensor network. Our solution is based on system model that considers reliability as well as physical layer (i.e., power control), data link layer (i.e., link scheduling) and network layer (i.e., routing protocol) jointly. To obtain more energy-effic...

A four-way power divider/power combiner using substrate integrated waveguide (SIW) and microstrip lines is proposed and investigated. The proposed power divider consists of a double-layer substrate with a bottom layer including an SIW T-junction and a top layer including a microstrip network. This microstrip network consists of a modified Gysel power divider which provides a high isolation betw...

mixed layer is a part of the atmospheric boundary layer in which pollutants are uniformly distributed. it is sensitive to the earth’s surface, controls the flow of heat and momentum between the surface and the free atmosphere, thus playing a key role in atmospheric circulation. most of atmospheric pollution models require the height of the mixed layer as an input to determine the depth of atmos...