Posted by **AlexGolova** at March 21, 2018

English | 5 Mar. 2009 | ISBN: 144148888X | 162 Pages | MOBI | 9.38 MB

Posted by **DZ123** at Jan. 25, 2018

English | 2008 | ISBN: 158428238X | PDF | pages: 129 | 4.4 mb

Posted by **AlexGolova** at Jan. 25, 2018

English | 17 Mar 2016 | ASIN: B01D5AKU92 | 86 pages | AZW3 | 12.84 MB

Posted by **nrg** at Oct. 21, 2017

11 jpg | up to 2867*3000 | 35.7 MB

Posted by **naag** at Oct. 12, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 764 MB

Posted by **AvaxGenius** at May 19, 2018

English | PDF,EPUB | 2009 | 579 Pages | ISBN : 0387874577 | 22.29 MB

Building on the successful Analysing Ecological Data (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM.

Posted by **Torries** at May 18, 2018

Posted by **AvaxGenius** at May 18, 2018

English | PDF,EPUB | 2018 (2019 Edition) | 150 Pages | ISBN : 3319901397 | 5.56 MB

This book describes models of the neuron and multilayer neural structures, with a particular focus on mathematical models. It also discusses electronic circuits used as models of the neuron and the synapse, and analyses the relations between the circuits and mathematical models in detail. The first part describes the biological foundations and provides a comprehensive overview of the artificial neural networks. The second part then presents mathematical foundations, reviewing elementary topics, as well as lesser-known problems such as topological conjugacy of dynamical systems and the shadowing property. The final two parts describe the models of the neuron, and the mathematical analysis of the properties of artificial multilayer neural networks. Combining biological, mathematical and electronic approaches, this multidisciplinary book it useful for the mathematicians interested in artificial neural networks and models of the neuron, for computer scientists interested in formal foundations of artificial neural networks, and for the biologists interested in mathematical and electronic models of neural structures and processes.

Posted by **Shor** at May 18, 2018

Posted by **AvaxGenius** at May 18, 2018

English | PDF,EPUB | 2018 (2019 Edition) | 184 Pages | ISBN : 3319917722 | 10.17 MB

This book shows that the plasmodium of Physarum polycephalum can be considered a natural labelled transition system, and based on this, it proposes high-level programming models for controlling the plasmodium behaviour. The presented programming is a form of pure behaviourism: the authors consider the possibility of simulating all basic stimulus–reaction relations.