This paper proposes a new training algorithm called bi-phases weights' adjusting (BPWA) for feedforward neural networks. Unlike BP learning algorithm, BPWA can adjust the weights during both forward phase and back...
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This paper proposes a new training algorithm called bi-phases weights' adjusting (BPWA) for feedforward neural networks. Unlike BP learning algorithm, BPWA can adjust the weights during both forward phase and backward phase. The algorithm computes the minimum norm square solution as the weights between the hidden layer and output layer in the forward pass, while the backward pass, on the other hand, adjusts other weights in the network according to error gradient descent method. The experimental results based on function approximation and classification tasks show that new algorithm is able to achieve faster converging speed with good generalization performance when compared with the BP and Levenberg-Marquardt BP algorithm
As a peculiar product in China today, farm transport vehicles play a very important role in economic construction and development of the countryside, but its work reliability remains low. In this paper truncated track...
As a peculiar product in China today, farm transport vehicles play a very important role in economic construction and development of the countryside, but its work reliability remains low. In this paper truncated tracking is used to solve the low reliability of farm transport vehicles. Relevant reliability data were obtained by tracking a certain model vehicle and conducting reliability experiments. Data analysis revealed the weakest part of the vehicle system was the engine assembly. The theory of artificial neural network was employed to estimate a parameter of the reliability model based on self-adaptive linear neural network, and the reliability function educed by the estimation could provide important theory references for reliability reassignment, manufacture and management of farm transport vehicles.
More and more engineering applications need denser and more accurate Digital Terrain Model (DTM) height data. Whereas, collecting additional height data in the field, if not impossible, is either expensive or time con...
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More and more engineering applications need denser and more accurate Digital Terrain Model (DTM) height data. Whereas, collecting additional height data in the field, if not impossible, is either expensive or time consuming or both. Advanced space technology has provided much single high-resolution satellite imageries almost worldwide. This paper discusses the idea of using Shape From Shading (SFS) methods with single high resolution imagery. Regular grids of digital terrain elevations are generated by a four-directional weighed algorithm we propose in this paper. Preliminary results are very encouraging and the methodology is going to be implemented with real satellite imagery and parallel computations
The charge conductance and the shot noise in an Aharonov-Bohm interferometer with double quantum dots embedded are studied in the framework of the equation of motion of Green’s function. From the impurity Anderson mo...
The charge conductance and the shot noise in an Aharonov-Bohm interferometer with double quantum dots embedded are studied in the framework of the equation of motion of Green’s function. From the impurity Anderson model Hamiltonian, the equations of motion of Green’s functions are derived and solved including the effects of two body correlations under Lacroix’s approximation. Our results show that the conductance, the shot noise, and the Fano factor as functions of the magnetic flux oscillate with a correct period of h∕e, and their oscillation behaviors are in agreement with the experimental data within one order of magnitude.
In this paper the authors propose a structural method for a genetic algorithm (GA) for the optimization problem of cable routing in which cables have to be laid optimally. When there are no limits on the layout routes...
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To deal with the optimization of control problem for large-scale systems using Hopfield network (HNN) that is easily trapped In local minimum, two-level hierarchical optimization network based on transiently chaotic n...
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Power use is one of the most important factors for wearable computer. This paper first imposes Ant algorithms for power management system of wearable computer, which is able to do developing control power use and dyna...
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Power use is one of the most important factors for wearable computer. This paper first imposes ant algorithms for power management system of wearable computer, which is able to do developing control power use and dyna...
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Power use is one of the most important factors for wearable computer. This paper first imposes ant algorithms for power management system of wearable computer, which is able to do developing control power use and dynamic attempter loads; then improves the efficiency of power use and prolongs working hours of wearable system. The result shows that it is viable to improve on traditional power management system of wearable computer.
In order to investigate the ratcheting behavior of T225NG alloy, a series of ratcheting tests under uniaxial long-cyclic stressing were performed. The results show that the ratcheting strain of this alloy can get into...
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In order to investigate the ratcheting behavior of T225NG alloy, a series of ratcheting tests under uniaxial long-cyclic stressing were performed. The results show that the ratcheting strain of this alloy can get into shakedown after tens (or hundreds) of thousand cycles. After the ratcheting strain is saturated under the condition that stress amplitude is half of peak stress, it will bring about subsequent fatigue failure, and relationship between fatigue life and one of peak stress and saturated ratcheting (SR) strain meets power law. As the alloy is under stress jiggling with stress amplitude that is 1%-2.5% of peak stress, the ratcheting strain still become remarkable and goes into shakedown after several hundreds of thousand cycles but there exists little accessional strain caused by creep effect. It is notable that, when the peak stress is 85%-100% of yield stress, the long-cyclic stressing will lead SR strain to be from 1.4% to 2.5% even if the initial ratio of ratcheting strain is zero. Based on ratcheting threshold property of peak stress and monotonicity of relationship between the peak stress and SR strain, a saturated ratcheting model (SRM) is developed to predict SR strain and to estimate saturated creep strain also. In addition, the classes of ratcheting evolutions of metals are discussed.
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