Titlebook: Intelligent Distributed Computing XII; Javier Del Ser,Eneko Osaba,Xin-She Yang Conference proceedings 2018 Springer Nature Switzerland AG

faddish

Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platformd on time-series of gene expression data, obtain the sparse topological structure and the parameters that quantitatively understand and reproduce the dynamics of biological system. Nevertheless, the inference of a GRN is a complex optimization problem that involve processing S-System models, which i

epicondylitis

Ordeal

Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks approaches are relied on a base learner that provides accuracies or error rates to be analyzed by an algorithm. In this work we propose the use of evolving spiking neural networks as a new form of drift detection, which resorts to the own architectural changes of this particular class of models to

自负的人

A Hybrid Ensemble of Heterogeneous Regressors for Wind Speed Estimation in Wind Farmsstems (Neural Networks (NNs), Suppor Vector Regressors (SVRs) and Gaussian Processes (GPRs)) will be the input of a final prediction system (An Extreme Learning Machine (ELM) in this case). Moreover, we propose to use variables from atmospheric reanalysis data as predictive inputs for the systems, w

shrill

Bio-inspired Approximation to MPPT Under Real Irradiation Conditionsgorithm. Photovoltaic energy has a high potential to grows but it has a strong dependence on climate conditions. Particularly, the power production of panels is reduced under partial shading conditions, which is a very common situation in several cities around the world. Therefore, the Maximum Power

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Sinus-Node

谄媚于人

奇思怪想

Time Series Forecasting in Turning Processes Using ARIMA Model turning process in order to optimize productivity and the cost of the turning processes. The methodology proposed to address the problem encompasses several steps. The main ones include filtering the signal, modeling of the normal behavior and forecasting. The forecasting approach is carried out by

同义联想法

A New Distributed Self-repairing Strategy for Transient Fault Cell in Embryonics Circuitf-repairing strategy is a key element in designing the embryonics circuit. However, all existing strategies of embryonics circuit mainly aim at the permanent faults, and lack of the transient faults. It would be a huge waste of hardware if a cell was permanently eliminated due to a local transient f