Flowchart of back-propagation learning operation.Ueda, MichihitoNishitani, YuKaneko, YukihiroOmote, Atsushi
Aimed at the challenge of wind turbine condition monitoring with insufficient available data caused by the harsh conditions, this paper presents a lightweight adaptive condition monitoring approach based on the back-propagation algorithm and the multivariate state estimation technique. In order to maximize...
Backpropagation (BP) neural network is a multilayer feedforward neural network trained according to the error backpropagation algorithm. It is capable of classifying arbitrary complex patterns and mapping multidimensional functions. The BP neural network base is the gradient descent method, which uses gr...
R, and computation time for the two algorithms are contrasted in Table7. The second algorithm outperforms the first algorithm in terms ofR. Due to the large quantity of data to train, the second approach takes a bit more time to compute than the first algorithm. However, because the simulat...
we develop a new deep learning algorithm of deep belief network (DBN) with back propagation (BP) algorithm optimized by genetic algorithm (GA) (DBPGA) for flash flood susceptibility mapping at Haraz in northern Iran. Although DL models have been successfully used for landslide susceptibility mappin...
which is used to adjust the network weights through the back propagation algorithm, including input layer, hidden layer, and output layer. There are full internet connections between the upper and lower layer, and no connections among neurons in the same layer. Connection weights of each layer ca...
Fig. 8. Flowchart of the proposed solution method. 5. Computational experiments To evaluate the validity and efficiency of the solution algorithm, at first, a numerical example is designed and will be solved for both costing strategies. Second, the effects of change in model parameters will be ...
Presumably, the P2P file sharing protocol or client algorithm may dictate that the rarest pieces of a swarm are to be sent to the background peers to make them less rare. The first link between two swarms may be made by at least one peer that is “intentionally” interested in both swarm...
Chen, S. et al., “A CMOS Image Sensor with On-Chip Image Compression Based on Predictive Boundary Adaptation and Memoryless QTD Algorithm,” Very Large Scalee Integration (VLSI) Systems, IEEE Transactions, vol. 19, Issue 4; Apr. 2011. Chen, W., et al., “Light Field mapping: Effici...
A semi-global matching-based algorithm may be used in some examples, although this is not intended to be limiting. Many applications for Level 3-5 autonomous driving require motion estimation/stereo matching on-the-fly (e.g., structure from motion, pedestrian recognition, lane detection, etc.)...