By Danilo Ardagna, Chiara Francalanci, Vincenzo Piuri, Fabio Scotti (auth.), Leszek Rutkowski, Jörg H. Siekmann, Ryszard Tadeusiewicz, Lotfi A. Zadeh (eds.)
This e-book constitutes the refereed lawsuits of the seventh foreign convention on man made Intelligence and smooth Computing, ICAISC 2004, held in Zakopane, Poland in June 2004.
The 172 revised contributed papers offered including 17 invited papers have been rigorously reviewed and chosen from 250 submissions. The papers are equipped in topical sections on neural networks, fuzzy platforms, evolutionary algorithms, tough units, tender computing in type, photograph processing, robotics, multiagent structures, difficulties in AI, clever keep watch over, modeling and procedure identity, clinical purposes, mechanical functions, and functions in a variety of fields.
Read Online or Download Artificial Intelligence and Soft Computing - ICAISC 2004: 7th International Conference, Zakopane, Poland, June 7-11, 2004. Proceedings PDF
Best computing books
Rapid Prototyping with JS
home windows Azure
Practical examples contain construction a number of models of the Chat app:
jQuery + Parse. com JS leisure API
spine and Parse. com JS SDK
spine and Node. js
spine and Node. js + MongoDB
The Chat software has all of the starting place of a customary web/mobile software: fetching information, exhibiting it, filing new info. different examples include:
jQuery + Twitter RESP API “Tweet Analyzer”
Parse. com “Save John”
Node. js “Hello World”
MongoDB “Print Collections”
Derby + convey “Hello World”
spine. js “Hello World”
spine. js “Apple Database”
Monk + Expres. js “REST API Server”
This e-book will prevent many hours by way of offering the hand-picked and demonstrated colletion of quickly commence courses. RPJS has sensible examples that permit to spend much less time studying and extra time development your individual functions. Prototype quickly and send code that concerns!
This booklet is a suite of chosen papers awarded on the final medical Computing in electric Engineering (SCEE) convention, held in Sinaia, Romania, in 2006. The sequence of SCEE meetings goals at addressing mathematical difficulties that have a relevance to undefined, with an emphasis on modeling and numerical simulation of digital circuits, electromagnetic fields but additionally coupled difficulties and basic mathematical and computational tools.
This ebook includes the path notes of the Summerschool on excessive functionality Computing in Fluid Dynamics, held on the Delft college of expertise, June 24-28, 1996. The lectures offered deal to a wide quantity with algorithmic, programming and implementation matters, in addition to stories won to date on parallel systems.
- Bio-Inspired Models of Network, Information, and Computing Systems: 7th International ICST Conference, BIONETICS 2012, Lugano, Switzerland, December 10--11, 2012, Revised Selected Papers
- Learning PHP Data Objects: A Beginner's Guide to PHP Data Objects, Database Connection Abstraction Library for PHP 5
- Computing Techniques for Robots
- Intelligent Computing Theories and Technology: 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings
- Adaptive and Natural Computing Algorithms: 10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part I
- Rule - Based Modeling and Computing on the Semantic Web: 5th International Symposium, RuleML 2011– America, Ft. Lauderdale, FL, Florida, USA, November 3-5, 2011. Proceedings
Extra resources for Artificial Intelligence and Soft Computing - ICAISC 2004: 7th International Conference, Zakopane, Poland, June 7-11, 2004. Proceedings
By including this term, we avoid the trivial solution yi = 0, ∀i. The second terms force the output signals to be as far as possible from Gaussianity, since the higher order cumulants are a natural measure of non-Gaussianity and they will vanish for Gaussian signals. It can be shown that by minimizing the cost function using the natural gradient approach, we can derive the following equivariant iterative algorithm ΔW(l) = W(l + 1) − W(l) = ηl [I − C1,q (y, y) Sq+1 (y)] W(l), where Sq+1 (y) = sign(diag(C1,q (y, y))).
The problems and methods described in the paper for static (memoryless) systems have been extended to systems described by a dynamical knowledge representation. The formalism of the uncertain variables and its application in a wide spectrum of uncertain systems (complexes) of operations, systems with distributed knowledge, pattern recognition and various practical systems) has been used as a basis for a uniform description of analysis 28 Z. Bubnicki and decision making in uncertain systems, presented in the book , where one can ﬁnd the indications of new problems and perspectives in this area.
34 3 A. M. Zurada Sparse Component Analysis and Sparse Signal Representations Sparse Component Analysis (SCA) and sparse signals representations (SSR) arise in many scientiﬁc problems, especially, where we wish to represent signals of interest by using a small (or sparse) number of basis signals from a much larger set of signals, often called dictionary. Such problems arise also in many applications such as electro-magnetic and biomagnetic inverse problems (EEG/MEG), feature extraction, ﬁltering, wavelet denoising, time-frequency representation, neural and speech coding, spectral estimation, direction of arrival estimation, failure diagnosis and speed-up processing [1,13].