{"title":"Johan Ak Suykens","description":null,"products":[{"product_id":"artificial-neural-networks-for-modelling-and-control-of-non-linear-systems-book-johan-ak-suykens-9780792396789","title":"Artificial Neural Networks for Modelling and Control of Non-Linear Systems","description":"Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Among these properties are their universal approximation ability, their parallel network structure and the availability of on- and off-line learning methods for the interconnection weights. However, dynamic models that contain neural network architectures might be highly non-linear and difficult to analyse as a result. Artificial Neural Networks for Modelling and Control of Non-Linear Systems investigates the subject from a system theoretical point of view. However the mathematical theory that is required from the reader is limited to matrix calculus, basic analysis, differential equations and basic linear system theory. No preliminary knowledge of neural networks is explicitly required. The book presents both classical and novel network architectures and learning algorithms for modelling and control. Topics include non-linear system identification, neural optimal control, top-down model based neural control design and stability analysis of neural control systems. A major contribution of this book is to introduce NLq Theory as an extension towards modern control theory, in order to analyze and synthesize non-linear systems that contain linear together with static non-linear operators that satisfy a sector condition: neural state space control systems are an example. Moreover, it turns out that NLq Theory is unifying with respect to many problems arising in neural networks, systems and control. Examples show that complex non-linear systems can be modelled and controlled within NLq theory, including mastering chaos. The didactic flavor of this book makes it suitable for use as a text for a course on Neural Networks. In addition, researchers and designers will find many important new techniques, in particular NLqTheory, that have applications in control theory, system theory, circuit theory and Time Series Analysis.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52134828081425,"sku":"NLS9780792396789","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9780792396789.jpg?v=1786279284"},{"product_id":"nonlinear-modeling-book-johan-ak-suykens-9780792381952","title":"Nonlinear Modeling","description":"Nonlinear Modeling: Advanced Black-Box Techniques  discusses methods on   Neural nets and related  model structures for nonlinear system identification;  Wavelet-based modeling of nonlinear systems;   Nonlinear identification based on fuzzy models;","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52147402342673,"sku":"NLS9780792381952","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9780792381952.jpg?v=1786613811"},{"product_id":"nonlinear-modeling-book-johan-ak-suykens-9781461376118","title":"Nonlinear Modeling","description":"Nonlinear Modeling: Advanced Black-Box Techniques  discusses methods on     Neural nets and related  model structures for nonlinear system identification;   Wavelet-based modeling of nonlinear systems;    Nonlinear identification based on fuzzy models;","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52351177359633,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52351180964113,"sku":"NLS9781461376118","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781461376118.jpg?v=1786443404"},{"product_id":"regularization-optimization-kernels-and-support-vector-machines-book-johan-ak-suykens-9780367658984","title":"Regularization, Optimization, Kernels, and Support Vector Machines","description":"This book is a collection of invited contributions from leading researchers in machine learning. Comprised of 21 chapters, this comprehensive reference covers the latest research and advances in regularization, sparsity, and compressed sensing; describes recent progress in convex and large-scale optimization, kernel methods, and support vector m","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52476468855057,"sku":"NLS9780367658984","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":53365871968529,"sku":"NIN9780367658984","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9780367658984.jpg?v=1786105424"},{"product_id":"artificial-neural-networks-for-modelling-and-control-of-non-linear-systems-book-johan-ak-suykens-9781441951588","title":"Artificial Neural Networks for Modelling and Control of Non-Linear Systems","description":"Artificial neural networks possess several properties that make  them particularly attractive for applications to modelling and control  of complex non-linear systems. Topics include  non-linear system identification, neural optimal control, top-down  model based neural control design and stability analysis of neural  control systems.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52480148734225,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52480149782801,"sku":"NLS9781441951588","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781441951588.jpg?v=1786441872"},{"product_id":"regularization-optimization-kernels-and-support-vector-machines-book-johan-ak-suykens-9781482241396","title":"Regularization, Optimization, Kernels, and Support Vector Machines","description":"\u003cp\u003e\u003cstrong\u003eRegularization, Optimization, Kernels, and Support Vector Machines\u003c\/strong\u003e offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines. Consisting of 21 chapters authored by leading researchers in machine learning, this comprehensive reference:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCovers the relationship between support vector machines (SVMs) and the Lasso\u003c\/li\u003e\n\u003cli\u003eDiscusses multi-layer SVMs\u003c\/li\u003e\n\u003cli\u003eExplores nonparametric feature selection, basis pursuit methods, and robust compressive sensing\u003c\/li\u003e\n\u003cli\u003eDescribes graph-based regularization methods for single- and multi-task learning\u003c\/li\u003e\n\u003cli\u003eConsiders regularized methods for dictionary learning and portfolio selection\u003c\/li\u003e\n\u003cli\u003eAddresses non-negative matrix factorization\u003c\/li\u003e\n\u003cli\u003eExamines low-rank matrix and tensor-based models\u003c\/li\u003e\n\u003cli\u003ePresents advanced kernel methods for batch and online machine learning, system identification, domain adaptation, and image processing\u003c\/li\u003e\n\u003cli\u003eTackles large-scale algorithms including conditional gradient methods, (non-convex) proximal techniques, and stochastic gradient descent\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eRegularization, Optimization, Kernels, and Support Vector Machines\u003c\/b\u003e is ideal for researchers in machine learning, pattern recognition, data mining, signal processing, statistical learning, and related areas.\u003c\/p\u003e","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52670142120209,"sku":"NLS9781482241396","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":53036564054289,"sku":"NIN9781482241396","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781482241396.jpg?v=1786097194"}],"url":"https:\/\/www.worldofbooks.com\/en-gb\/collections\/author-books-by-johan-ak-suykens.oembed","provider":"World of Books ","version":"1.0","type":"link"}