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

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期刊全稱Advances in Neural Networks: Computational and Theoretical Issues
影響因子2023Simone Bassis,Anna Esposito,Francesco Carlo Morabi
視頻videohttp://file.papertrans.cn/150/149174/149174.mp4
發(fā)行地址Recent research on Neural Networks Models and Applications.Proceedings of the 24th Workshop of the Italian Neural Networks Society (SIREN) held at May 15 - 16, Vietri sul Mare, Salerno, Italy.Presents
學(xué)科分類Smart Innovation, Systems and Technologies
圖書封面Titlebook: Advances in Neural Networks: Computational and Theoretical Issues;  Simone Bassis,Anna Esposito,Francesco Carlo Morabi Book 2015 Springer I
影響因子.This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters devoted to the discussion of novelties and innovations related to the field of Artificial Neural Networks as well as the use of neural networks for applications, pattern recognition, signal processing, and special topics such as the detection and recognition of multimodal emotional expressions and daily cognitive functions, and? bio-inspired memristor-based networks..Providing insights into the latest research interest from a pool of international experts coming from different research fields, the volume becomes valuable to all those with any interest in a holistic approach to implement believable, autonomous, adaptive and context-aware Information Communication Technologies..
Pindex Book 2015
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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
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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
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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.
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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
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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
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