[PDF] Top 20 An Energy Backpropagation Algorithm

... forward backpropagation (FFBP) network is a very popular model in neural ...is an iterative process that is carried on until the errors fall below a tolerance ... See full document

... Typically, PONs are time-division multiplexing (TDM) single-channel systems, where the fiber infrastructure carries a single upstream wavelength channel (from subscribers to a cen- tral office) and a single downstream ... See full document

... CPD algorithm to calcu- late the second order cyclostationarity function of a signal for the purpose of spectrum ...present an analytical model of the processor circuits that associates these speedups with ... See full document

... steganographic algorithm, numerical calculations performed by the computer cause errors and alterations in the test images, so we apply a proposed scaling factor depending on the number of bits of the image to ... See full document

... present an adaptive approach for improving the performance in randomly distributed Wireless Sensor Networks ...limited energy, we propose a novel model Energy ∗ Delay based on Ant Colony Optimization ... See full document

... proposes an algorithm that is based on a complex analysis method that is used for choosing the configuration of a power ...electric energy and hydrogen, and serves a "green" ...are: ... See full document

... within an area of meter ...this algorithm is to present a strategy fordefining intermediate cluster heads to minimize the distance between the cluster heads and their member node, so that the total ... See full document

... novel algorithm for efficient load balancing ...and energy efficiency ...for energy efficiency improvement and another is learning of network load balancing in order to achieve the improved QoS ... See full document

... Election algorithm is a special purpose algorithm, which is run for selecting the coordinator process among N number of ...plays an important role in the distributed system to maintain the ... See full document

... An artificial neural network (ANN) was compared with a multiple linear regression statistical method to predict hatchability in an artificial incubation process. A feedforward neural network architecture ... See full document

... (6) Every node has to determine the remenr by itself and send it to its neighbor and to its primary assistant. If a node is frequently accessed for a particular data its power drains off quickly and the assistant has to ... See full document

... where, α is the penalty factor for real power balance constraint, β is the penalty factor for prohibited operating zone constraint, and P i ( violation ) is an indicator of falling into the prohibited operating ... See full document

... developed an integrated artificial neural network and genetic algorithm framework to predict electrical energy consumption ...proposed an integrated approach based on genetic algorithm, ... See full document

... total energy and momentum related to a given relativistic field such as the Maxwell ...symmetric energy–momentum ...total energy and momentum for localized fields is, in general, relegated to ... See full document

... flow energy. This effect is very important considering energy aspect of fluid ...of an axisymmetric turbulent flow in a straight circular pipe and gave a good theoretic base for development of ... See full document

... Abstract – Objective: To investigate different fuzzy arithmetical operations to support in the diagnostic of epileptic events and non epileptic events. Method: A neuro-fuzzy system was developed using the NEFCLASS (NEuro ... See full document

... heuristic algorithm for genome aliquoting. Overall, the algorithm has greater accuracy than earlier algorithms developed for this purpose, especially when the simulated distance is ...the algorithm ... See full document

... up an entirely new measure-first-ask-questions-later approach to science: the Square Kilometer Array radio telescope is expected to collect approximately one exabyte of data per day (Newman & Tseng, 0000); ... See full document

... Parallel computing systems have been widely adopted to solve complex scientific and engineering problems. To efficiently execute a data-parallel program on distributed memory multi-computers, an appropriate data ... See full document

... Surface Energy Balance Algorithm for Land (SEBAL) é um algoritmo desenvolvido para estimar o balanço de energia à superfície, por meio de imagens de satélite multiespectrais que propiciem a determinação do ... See full document