Titlebook: Advances in Neural Networks: Computational and Theoretical Issues; Simone Bassis,Anna Esposito,Francesco Carlo Morabi Book 2015 Springer I

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书目名称Advances in Neural Networks: Computational and Theoretical Issues影响因子(影响力)




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书目名称Advances in Neural Networks: Computational and Theoretical Issues网络公开度学科排名




书目名称Advances in Neural Networks: Computational and Theoretical Issues被引频次




书目名称Advances in Neural Networks: Computational and Theoretical Issues被引频次学科排名




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书目名称Advances in Neural Networks: Computational and Theoretical Issues年度引用学科排名




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书目名称Advances in Neural Networks: Computational and Theoretical Issues读者反馈学科排名

产生

Obverse

emulsify

Significance-Based Pruning for Reservoir’s Neurons in Echo State Networkss the partitioning of the recurrent part of the network, the ., from the non-recurrent part, the latter being the only component which is explicitly trained. To ensure good generalization capabilities, the reservoir is generally built from a large number of neurons, whose connectivity should be desi

啜泣

Online Selection of Functional Links for Nonlinear System Identification algorithm is capable of selecting the useful nonlinear elements resulting from the functional expansion, while setting to zero the ones that does not bring any improvement of the modeling performance. This allows to reduce any gradient noise due to a possible overestimate of the solution, thus prev

青石板

A Continuous-Time Spiking Neural Network Paradigmof approach is necessary. For the purpose of developing a simulation tool having such a property, an ad-hoc event-driven method is implemented. A simplified neuron model is introduced with characteristics similar to the classic Leaky Integrate-and-Fire model, but including the spike latency effect.

nostrum

Online Spectral Clustering and the Neural Mechanisms of Concept Formation to solve a possibly large eigenproblem. In this paper we focus on a method for spectral embedding of stream data, modeled as an unbounded quantity of input observation. A second purpose of this work is to analyze the proposed method and compare it with traditional neural network implementations: cu

fender

Machine Learning-Based Web Documents Categorization by Semantic Graphsat can provide a compact and structured representation of the concepts present in a document in order to take into account the semantic information. The semantic graph allows determining a map of the semantic areas contained in the document and their relationships w.r.t. a particular concept or term

homeostasis

强壮