標(biāo)題: Titlebook: Nonlinear System Identification; From Classical Appro Oliver Nelles Textbook 2001 Springer-Verlag Berlin Heidelberg 2001 Automatisierungste [打印本頁(yè)] 作者: eternal 時(shí)間: 2025-3-21 17:51
書目名稱Nonlinear System Identification影響因子(影響力)
書目名稱Nonlinear System Identification影響因子(影響力)學(xué)科排名
書目名稱Nonlinear System Identification網(wǎng)絡(luò)公開度
書目名稱Nonlinear System Identification網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Nonlinear System Identification被引頻次
書目名稱Nonlinear System Identification被引頻次學(xué)科排名
書目名稱Nonlinear System Identification年度引用
書目名稱Nonlinear System Identification年度引用學(xué)科排名
書目名稱Nonlinear System Identification讀者反饋
書目名稱Nonlinear System Identification讀者反饋學(xué)科排名
作者: 裁決 時(shí)間: 2025-3-21 20:57
Oliver Nelles base sequence determines the specificity of proteins. And enzyme proteins are immediately responsible for the peripheral metabolism which enables the organism to impose its own kind of order on the raw materials it absorbs. The course of development is determined not only by the nature of the genet作者: harrow 時(shí)間: 2025-3-22 03:36
Oliver Nelles 1951). Nowadays the chromosome theory can be presented in much greater detail and with utter confidence, but its two main features remain the same. However, while the role of the chromosomes in heredity and development has been appreciated for a long time, the manner in which they perform their gen作者: 胎兒 時(shí)間: 2025-3-22 08:19 作者: neutrophils 時(shí)間: 2025-3-22 09:05 作者: AFFIX 時(shí)間: 2025-3-22 13:44 作者: 吵鬧 時(shí)間: 2025-3-22 20:24 作者: lobster 時(shí)間: 2025-3-22 21:28 作者: 天賦 時(shí)間: 2025-3-23 03:19
Introductionmodels are introduced in Sects. 1.1. Section 1.2 presents and analyzes the various tasks that have to be carried out in order to solve a nonlinear system identification problem. Several modeling paradigms are reviewed in Sect. 1.3. Section 1.4 characterizes the purpose of this book and gives an outl作者: 受辱 時(shí)間: 2025-3-23 06:49
Introduction to Optimizationation approaches that allow one to determine the model parameters and possibly the model structure from measurement data for a given model architecture. Suitable model architectures for static and dynamic processes are treated in Part II and Part III, respectively. Although there exist close links (作者: nonplus 時(shí)間: 2025-3-23 12:36
Linear Optimizationation problem arises. Also, a linear optimization problem can be artificially generated if the error is a nonlinear function .(?) of the parameters but the loss functions is chosen as a sum of those inverted nonlinearities .(?). of the errors. Note, however, that this loss function may not be suitab作者: ungainly 時(shí)間: 2025-3-23 17:17 作者: 話 時(shí)間: 2025-3-23 21:25 作者: 態(tài)學(xué) 時(shí)間: 2025-3-24 01:45 作者: backdrop 時(shí)間: 2025-3-24 02:27 作者: happiness 時(shí)間: 2025-3-24 06:34 作者: 妨礙 時(shí)間: 2025-3-24 14:41
Linear, Polynomial, and Look-Up Table Modelsheory and practice. The simplest approach pursued in Sect. 10.1 is to approximate the nonlinear process behavior with a linear model. In the subsequent section, the polynomial approximator is discussed. Finally, in Sect. 10.3 the standard grid-based look-up table with linear interpolation is analyze作者: 全部 時(shí)間: 2025-3-24 16:44 作者: peptic-ulcer 時(shí)間: 2025-3-24 22:14
Fuzzy and Neuro-Fuzzy ModelsThese approaches are commonly referred to as neuro-fuzzy networks since they exploit some links between fuzzy systems and neural networks. Within this chapter only one architecture of neuro-fuzzy networks is considered, the so-called singleton approach. Neuro-fuzzy networks based on local linear mod作者: panorama 時(shí)間: 2025-3-25 00:14 作者: 親屬 時(shí)間: 2025-3-25 07:00
Local Linear Neuro-Fuzzy Models: Advanced Aspectsas follows. Section 14.1 discusses the possibility of different input spaces for rule premises and consequents, which is a unique feature of local neuro-fuzzy models. Section 14.2 introduces the use of models that are more complex than local .. An extension of the LOLIMOT algorithm that allows one t作者: infantile 時(shí)間: 2025-3-25 11:10
Linear Dynamic System Identificationmphasize the clear distinction from static systems. An understanding of the basic concepts and the terminology of linear dynamic system identification is required in order to study the identification of . systems, which is the subject of all subsequent chapters. The purpose of this chapter is to int作者: overbearing 時(shí)間: 2025-3-25 12:34
978-3-642-08674-8Springer-Verlag Berlin Heidelberg 2001作者: needle 時(shí)間: 2025-3-25 17:40
Linear, Polynomial, and Look-Up Table Modelsheory and practice. The simplest approach pursued in Sect. 10.1 is to approximate the nonlinear process behavior with a linear model. In the subsequent section, the polynomial approximator is discussed. Finally, in Sect. 10.3 the standard grid-based look-up table with linear interpolation is analyzed.作者: Intruder 時(shí)間: 2025-3-25 21:01
Neural Networksres in the brains of humans and animals, which are extremely powerful for such tasks as information processing, learning, and adaptation. Good overviews on the biological background can be found in [326, 328]. The most important characteristics of neural networks are作者: Generator 時(shí)間: 2025-3-26 03:18 作者: IOTA 時(shí)間: 2025-3-26 05:25 作者: Apraxia 時(shí)間: 2025-3-26 12:19
Oliver NellesEasy and intuitive understanding.Explanations and terminology from an engineering point-of-view.Only basic mathematics required.Self-contained, no other literature needed.Includes supplementary materi作者: cuticle 時(shí)間: 2025-3-26 12:51 作者: Missile 時(shí)間: 2025-3-26 17:30 作者: ordain 時(shí)間: 2025-3-26 21:30
Oliver Nelleseed it would appear that all these possibilities are exploited by living systems. If like is to beget like, however, any genetic change which occurs during development must be undone, or else germinal units preserved from change must be set aside. As far as is known, genetic changes, even those invo作者: AGATE 時(shí)間: 2025-3-27 01:54
Oliver Nellescells. Indeed it would appear that all these possibilities are exploited by living systems. If like is to beget like, however, any genetic change which occurs during development must be undone, or else germinal units preserved from change must be set aside. As far as is known, genetic changes, even those invo978-3-211-80881-8978-3-7091-5781-7作者: 蜿蜒而流 時(shí)間: 2025-3-27 07:12
Oliver Nellesromosome phenotype, however, changes not only during division but throughout the cell cycle. The changes which occur during interphase are, of course, scarcely revealed in morphological modifications of the restless "resting" nucleus. Consequently they are less obvious and correspondingly less amena作者: CREST 時(shí)間: 2025-3-27 12:30 作者: inculpate 時(shí)間: 2025-3-27 15:33 作者: 欺騙世家 時(shí)間: 2025-3-27 21:34 作者: 輕率看法 時(shí)間: 2025-3-28 00:47 作者: 男生如果明白 時(shí)間: 2025-3-28 03:02
Nonlinear Global Optimizationn most applications the loss function value of the global optimum is not known, it is difficult to assess the quality of an optimum. However, comparisons with results obtained by truly local techniques can justify the use of global approaches.作者: 發(fā)電機(jī) 時(shí)間: 2025-3-28 09:31
Local Linear Neuro-Fuzzy Models: Advanced Aspectsodel output with errorbars, their application to the design of excitation signals, and active learning are discussed in Sect. 14.7. An outlook for a further extension of the LOLIMOT algorithm and a link to ridge construction based approaches such as MLP networks are given in Sect. 14.8, which deals 作者: 出來(lái) 時(shí)間: 2025-3-28 11:29 作者: nocturia 時(shí)間: 2025-3-28 18:07
Textbook 2001ed ideas are illustrated by numerous figures, examples, and real-world applications. Fifteen years ago, nonlinear system identification was a field of several ad-hoc approaches, each applicable only to a very restricted class of systems. With the advent of neural networks, fuzzy models, and modern s作者: MUT 時(shí)間: 2025-3-28 20:04 作者: 預(yù)防注射 時(shí)間: 2025-3-29 00:22
Textbook 2001nlinear system identification. The reader will be able to apply the discussed models and methods to real problems with the necessary confidence and the awareness of potential difficulties that may arise in practice. This book is self-contained in the sense that it requires merely basic knowledge of 作者: enlist 時(shí)間: 2025-3-29 06:44 作者: Obituary 時(shí)間: 2025-3-29 08:07
Unsupervised Learning Techniquesa into another form, which hopefully can be better processed by the subsequent model. In this context, it is important to keep in mind that the desired output is actually available, and there may exist some efficient way to include this knowledge even into the preprocessing phase.作者: fetter 時(shí)間: 2025-3-29 13:21
Introduction to Static Modelspproaches. Chapters 13 and 14 introduce and extend the local linear neuro-fuzzy model architectures and in particular the local linear model tree (LOLIMOT) training algorithm. Finally, the main results of this part are summarized in Chap. 15.作者: Tortuous 時(shí)間: 2025-3-29 18:21
Introductiontem identification problem. Several modeling paradigms are reviewed in Sect. 1.3. Section 1.4 characterizes the purpose of this book and gives an outline with some reading suggestions. Finally, a few terminological issues are addressed in Sect. 1.5.作者: 炸壞 時(shí)間: 2025-3-29 23:18 作者: 極為憤怒 時(shí)間: 2025-3-30 00:42 作者: acrimony 時(shí)間: 2025-3-30 04:41 作者: 盡管 時(shí)間: 2025-3-30 11:49
Model Complexity Optimizationd independently of the particular type of model used. Thus, understanding of the following sections is important when dealing with identification tasks independent of whether the models are linear or nonlinear, classical or modern, neuro or fuzzy models.作者: 谷物 時(shí)間: 2025-3-30 14:28 作者: 寄生蟲 時(shí)間: 2025-3-30 19:22
verview of the framework set out in Chapters 2 and 3. The general conclusion is that although the strategic and institutional environment of the EU system limits the linear development of a ‘Europe of parties’, the main party families have begun to adapt their organisational and policy strategies to accommodate these constraints.作者: Urea508 時(shí)間: 2025-3-30 23:55 作者: Freeze 時(shí)間: 2025-3-31 04:27 作者: 小故事 時(shí)間: 2025-3-31 07:58
https://doi.org/10.1007/978-3-658-07934-5Erfolgsfaktoren; Führungspraxis; Globalisierung; Manager; Unternehmen
