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Titlebook: Adaptive Modelling, Estimation and Fusion from Data; A Neurofuzzy Approac Chris Harris,Xia Hong,Qiang Gan Book 2002 Springer-Verlag Berlin

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发表于 2025-3-21 19:31:52 | 显示全部楼层 |阅读模式
期刊全称Adaptive Modelling, Estimation and Fusion from Data
期刊简称A Neurofuzzy Approac
影响因子2023Chris Harris,Xia Hong,Qiang Gan
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发行地址First book to present a mathematical framework for neurofuzzy modeling using generalised linear neural networks Focus on practically applicable algorithms for data based modeling and time series probl
学科分类Advanced Information Processing
图书封面Titlebook: Adaptive Modelling, Estimation and Fusion from Data; A Neurofuzzy Approac Chris Harris,Xia Hong,Qiang Gan Book 2002 Springer-Verlag Berlin
影响因子.In a world of almost permanent and rapidly increasing electronic data availability, techniques of filtering, compressing, and interpreting this data to transform it into valuable and easily comprehensible information is of utmost importance. One key topic in this area is the capability to deduce future system behavior from a given data input. ..This book brings together for the first time the complete theory of data-based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data-based modelling, new concepts including extended additive and multiplicative submodels are developed and their extensions to state estimation and data fusion are derived. All these algorithms are illustrated with benchmark and real-life examples to demonstrate their efficiency. ..Chris Harris and his group have carried out pioneering work which has tied together the fields of neural networks and linguistic rule-based algortihms. This book is aimed at researchers and scientists in time series modeling, empirical data modeling, knowledge discovery, data mining, and data fusion..
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An introduction to modelling and learning algorithms,uding being more eco-friendly, due to its nanoscale size. It could look impossible sometimes, that nanoscale structures could not only present but could also have a big impact in various sectors that could be important to our daily life. Besides a tremendous impact in many sectors, nanomaterials are
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Learning laws for linear-in-the-parameters networks,breakthroughs are orders of magnitude increases in computer efficiency, human organ restoration using engineered tissue, `designer‘ materials created from directed assembly of atoms and molecules, and the emergence of entirely new phenomena in chemistry and physics. This book includes a collection o
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Fuzzy and neurofuzzy modelling,atment of cancerous tumors, still many gaps remain to be filled in overcoming this menace. Many benchmarks have been achieved regarding clinical translation with special emphasis on implementation of nanotheranostics in healthcare sector. This has led to mitigation in nanoparticles toxicity and pati
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Parsimonious neurofuzzy modelling,esses nanoscale materials for dual purposes: as diagnostic instruments and as vehicles for the targeted and controlled conveyance of therapeutic agents. The utilization of nanotechnology in this context is pivotal for facilitating the precision-targeted administration of pharmaceuticals for the mana
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Multisensor data fusion using Kalman filters based on neurofuzzy linearisation,cal behavior of surfaces, thin films, and coatings to be studied with unprecedented accuracy. In this chapter, the various techniques available for studying nanomechanical properties are reviewed with particular emphasis on nanoindentation. The standard methods for analyzing the raw data obtained us
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