Download Artificial Neural Nets Problem Solving Methods: 7th by Eva M. Ortigosa, Antonio Cañas, Eduardo Ros, Richard R. PDF

By Eva M. Ortigosa, Antonio Cañas, Eduardo Ros, Richard R. Carrillo (auth.), José Mira, José R. Álvarez (eds.)

The two-volume set LNCS 2686 and LNCS 2687 represent the refereed complaints of the seventh foreign Work-Conference on synthetic and traditional Neural Networks, IWANN 2003, held in Ma?, Menorca, Spain in June 2003.

The 197 revised papers awarded have been conscientiously reviewed and chosen for inclusion within the booklet and deal with the subsequent issues: mathematical and computational equipment in neural modelling, neurophysiological information research and modelling, structural and sensible versions of neurons, studying and different plasticity phenomena, complicated structures dynamics, cognitive methods and synthetic intelligence, methodologies for internet layout, bio-inspired platforms and engineering, and functions in a wide number of fields.

Show description

Read Online or Download Artificial Neural Nets Problem Solving Methods: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN2003 Maó, Menorca, Spain, June 3–6, 2003 Proceedings, Part II PDF

Similar international_1 books

Separated Representations and PGD-Based Model Reduction: Fundamentals and Applications

The papers during this quantity begin with an outline of the development of diminished types via a assessment of right Orthogonal Decomposition (POD) and decreased foundation versions, together with their mathematical foundations and a few difficult functions, then via an outline of a brand new iteration of simulation innovations in line with using separated representations (space-parameters, space-time, space-time-parameters, space-space,…), that have ended in what's referred to as right Generalized Decomposition (PGD) options.

Process-Aware Systems: First International Workshop, PAS 2014, Shanghai, China, October 17, 2014. Proceedings

This publication constitutes the refereed complaints of the 1st foreign Workshop on Process-Aware structures, PAS 2014, held in Shanghai, China, in October 2014. The five revised complete papers and three brief papers have been conscientiously reviewed and chosen from 14 submissions. The papers are prepared in topical sections on strategy modeling and comparability; workflow scheduling and source allocation; medical workflow verification; workflow purposes.

Interdisciplinary Behavior and Social Sciences: Proceedings of the 3rd International Congress on Interdisciplinary Behavior and Social Science 2014

The human element performs an enormous position within the social sciences. The habit of individuals has develop into an important sector of concentration within the social sciences in addition. Interdisciplinary habit and Social Sciences comprises papers that have been initially offered on the third overseas Congress on Interdisciplinary habit and Social technology 2014 (ICIBSoS 2014), held 1–2 November 2014 on the Bali Dynasty hotel, Kuta, Bali, Indonesia.

Extra info for Artificial Neural Nets Problem Solving Methods: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN2003 Maó, Menorca, Spain, June 3–6, 2003 Proceedings, Part II

Sample text

4 From NFC to FPGA Let be b---+d eAd---+a -,d A c ---+ a dAa---+b a set of rules expressing a logical problem. The rules can be written in terms of IMPLYs operators of the NSL in the following way: IMPLY(b, d), IMPLY(eAd, a), IMPLY(-,d A c, a), IMPLY(d A a, b). The compiler, that has been designed and implemented by the authors of this paper, accepts a set of NSL operators. Each of them, is translated into an ANN that captures the symbolic meaning of the corresponding NSL operator. From the set of neurons forming the ANNs, the compiler produces the respective VHDL code.

IWANN 2003, LNCS 2687, pp. 25-32, 2003. c Springer-Verlag Berlin Heidelberg 2003 26 Gin´es Dom´enech-Asensi et al. ÑÓ Ð× ÓÙÒ Ò Ð Ø Ö ØÙÖ ¸ Ú ÐÓÔ ØÓ ÙÒ Ö×Ø Ò Ò Ñ Ð Ú ÓÖ ¾ ¸ ¿ ¸ Û Ú Ó Ù× ÓÙÖ ØØ ÒØ ÓÒ Ò ÓÒ ÐÐ Ä Ì ¿ º ÁØ ×Ø Ò × ÓÖ ØÓÖ Þ Ø ÓÒ Ó Ä Ò Ø Ò Ì Ò× ÓÒ¸ Ò ÔÖÓÔÓ× × Ò Ô Ò Ò Ý Ó Ó ÒØ ×Ø «Ò ×× Ò Ó ÒØ ÔÓ× Ø ÓÒ ÓÖ ÓÒ¬ ÙÖ Ø ÓÒº Ì × ÑÓ Ð ×Ø ÖØ× ÖÓÑ Ø Ú ÖÝ × ÑÔÐ ÓÒØÖÓÐ Ö Ñ ÓÖ × Ò Ð Ð Ñ ÑÓÚ Ñ Òظ ÓÑÔÓ× Ý Ô Ö Ó ÑÙ× Ð × Ò Ô Ö Ó ÑÓØÓÖ Ò ÙÖÓÒ׸ ØÓ Ú ÓÑÔÐ Ø ÑÓ Ð ÓÑÔÓ× Ý ÐÐ Ò Ó Ò ÙÖÓÒ× ÓÙÒ Ò Ø ÓÐÓ Ð ×Ô Ò Ð ÓÖ º ÇÒ Ó Ø × ÑÔÐ ¬ Ø ÓÒ× ÒØÖÓ Ù Ò Ø × ÑÓ Ð ÓÒ× ×Ø× ÓÒ ÖÓÙÔ Ò ÐÐ× Ò ÙÒ Ø ÓÒ Ð ÖÓÙÔ׺ ÁÒ Ø × Û Ý¸ ÓÖ Ò×Ø Ò ×Ò Ð ÑÓØÓÒ ÙÖÓÒ Ò Ø ÑÓ Ð ÛÓÙÐ Ö ÔÖ × ÒØ ÖÓÙÔ Ó Ö Ð ÑÓØÓÒ ÙÖÓÒ× Û Ö Ú × Ø Ó ¬ Ö× Ò × Ñ ÑÙ× Ð ¸ Ò Ø× Ø Ú Ø ÓÒ ×Ø Ø ÛÓÙÐ Ô Ò ÓÒ Ø ÒÙÑ Ö Ò Ø Ú Ø ÓÒ ×Ø Ø Ó Ø ÑÓØÓÒ ÙÖÓÒ× Ø Ö ÔÖ × ÒØ׺ ¾ Æ ÙÖ Ð Ò ØÛÓÖ × Ö ÔØ ÓÒ ÇÒ Ó Ø Ö ×ÓÒ× Û Ú Ó× Ò Ø Ä Ì ÑÓ Ð × Ø Ø Ø Ò × ÐÝ ×ÝÒØ × × Ò ÙÖÖ ÒØ ÑÓ Ò ÐÓ ÅÇË ÑÔÐ Ñ ÒØ Ø ÓÒ¸ × × Ø× Ö ¹ Ø Ö ×Ø × Ó × ÑÔÐ ØÝ Ò ÙÖ Ý Ö ÔØ Ð ÓÖ ÓÙÖ Ö × Ö ÔÙÖÔÓ× ×º × Û Ú Ñ ÒØ ÓÒ ¸ Ø × Ò ÙÖ Ð Ò ØÛÓÖ ÑÓ Ð × × ÓÒ Ø Ò ÙÖ Ð Ö Ù ØÖÝ ÓÙÒ Ò Ø ÙÑ Ò ×Ô Ò Ð ÓÖ Ò Ø ÓÑÔÖ × × × Ú Ö Ð ØÝÔ × Ó ÐÐ׺ Ï Ú ×Ø ÖØ ÓÖ Ò ÙÖ Ð ×ÝÒØ × × Û Ø × ÑÔÐ ¬ Ø ÓÒ Ó Ø × ÑÓ Ð¸ Û Ò ÐÙ × ×Ù × Ø Ó Ø Ö Ô Ö× Ó Ò ÙÖÓÒ× ÐÔ ÑÓØÓÒ ÙÖÓÒ׸ ÒØ ÖÒ ÙÖÓÒ× Ò Ê Ò× Û ÐÐ׺ ÁÒØ ÖÒ ÙÖÓÒ× Ò Ê Ò× Û ÐÐ× Ö ×Ñ ÐÐ Ò ÙÖÓÒ׸ Ò ÓÑÔ Ö ×ÓÒ Û Ø ÑÓ¹ ØÓÒ ÙÖÓÒ׸ Ò Ø Ö Ñ Ò ÖÓÐ × ØÓ ÔÖÓÚ Ò Ø Ú ØÓ ÓÑÔ Ò× Ø Ø ×Ý×Ø Ñ ÝÒ Ñ Ú ÓÖº Ú ÖÝ Ò ÙÖÓÒ Ó Ø × Ò ØÛÓÖ Ú × ÓÐÐÓÛ Ò Ø Ò ÜØ « Ö ÒØ Ð ÕÙ Ø ÓÒ ´ÍÔÔ Ö µ £ Ü Ø Ø ÓÒ ´ ÄÓÛ Öµ £ ÁÒ Ø ÓÒ ´½µ Ø Û Ö ×Ø Ø Ú Ø ÓÒ ×Ø Ø Ó Ø Ò ÙÖÓÒ¸ Ü Ø Ø ÓÒ Ò ÁÒ Ø ÓÒ Ö Ø ÒÔÙØ × Ò Ð× ØÓ Ö ×Ô Ø Ú ÐÝ Ò Ö × ÓÖ Ö × Ø Ò ÙÖÓÒ ×Ø Ø º ÍÔÔ Ö Ò ÄÓÛ Ö ×Ô Ý Ø ÙÔÔ Ö Ò ÐÓÛ Ö Ð Ñ Ø× Ò Ø Ò ÙÖÓÒ Ø Ú Ø ÓÒ ×Ø Ø º ÁÒ ¬ ÙÖ ½ Û Ò× × ÑÔÐ Ò ØÛÓÖ ÓÑÔÖ × Ý × Ü Ò ÙÖÓÒ׺ Ì × Ò ÙÖÓÒ× Ú « Ö ÒØ × Þ Ò ÓÖ Ö ØÓ × ÓÛ Ø Ý Ú « Ö ÒØ Ú ÓÖ¸ Ù ØÓ Ø Ö ÙÔÔ Ö Ò ÐÓÛ Ö Ø Ú Ø ÓÒ ×Ø Ø Ð Ñ Ø× Ö « Ö Òغ Ž Ò Å¾ Ö ÔÖ × ÒØ Ø Ô Ö Ó ÓÔÔÓÒ ÒØ ÑÓØÓÒ ÙÖÓÒ× Ò Ø Ý Ö Ø ÐÐ× Ö ×ÔÓÒ× Ð ÓÖ Ø Ö Ø ÑÓØ ÓÒ Ò Ö Ø ÓÒº × Û Ò × Ò Ø ¬ ÙÖ ¸ Ø Ö ÓÙØÔÙØ Ü Ø × Ø ÑÙ× Ð × Ò Ø Ð Ñ º Á ½ Ò Á ¾ Ö Ø ÁÒØ ÖÒ ÙÖÓÒ׺ Ì Ý ÐÓÒ ØÓ ÖÓÙÔ Ó ×Ñ ÐÐ ÐÐ× Û Ô Ö ÓÖÑ ÒØ ÓÒØÖÓÐ × Ò Ð׺ Ï Ò ÒÓØ ÓÛ Ò ÒØ ÖÒ ÙÖÓÒ Ò Ø× ÓØ Ø ÓÔÔÓ× Ø ÒØ ÖÒ ÙÖÓÒ Ò Ø ÓÔÔÓ× Ø ÑÓØÓÒ ÙÖÓÒº Ò ÐÐݸ Ê Ò× Û ÐÐ× ´Ê½ Ò Ê¾ µ Ö Ö Ú Ò Ý Ø ÑÓØÓÒ ÙÖÓÒ× Ò Ø × Ñ ÒÒ Ð Ò ÓÒØÖÓÐ Ø ÓÚ Ö Ü Ø Ø ÓÒ Ó Ø × Ð ×Ø Ò ÙÖÓÒ׺ ÖÓÑ Ø Ò ØÛÓÖ ÓÒÒ Ø ÓÒ× × ÓÛÒ Ò Ø ¬ ÙÖ Ò Ø Ò ÙÖÓÒ Ú ÓÖ ÜÔÖ ×× ÓÒ ´½µ¸ Û Ò Ó Ø Ò Ø « Ö ÒØ Ð ÕÙ Ø ÓÒ ×Ý×Ø Ñ Û ÑÓ Ð× Ø Ò ÙÖ Ð Ò ØÛÓÖ ´ ÕÙ ¾ ØÓ µº ÁÒ Ø × ÕÙ Ø ÓÒ× Û Ú Ò ÐÙ Ø Ð Ñ Ø Ú ÐÙ × ÓÖ Ò ÙÖÓÒ Ø Ú Ø ÓÒ ×Ø Ø ×º ÁÒ Ø × Ü ÑÔÐ ¸ ÑÓØÓÒ ÙÖÓÒ× ÛÓÖ ØÛ Ò ¾¼ Ò Current Mode CMOS Synthesis of a Motor-Control Neural System ÓÒ ×Ø ÒÒ Ð ÁÒØ ÖÒ ÙÖÓÒ ÒØ ÓÒ ×Ø ÒÒ Ð ½ ¾ Á ÅÓØÓÖÒ ÙÖÓÒ Å Ê Ò× Û Á ½ ¾ Å ½ ÐРʽ º ½º Ø ¾ ÑÙ× Ð Ê¾ ÖÑ Ü Ø Ø ÓÒ Ò 27 Ø ÓÒ Ë ÑÔÐ ¬ Ö ÑÓ Ä Ì ¼ ÙÒ Ø׸ Ø Ö Ü Ø Ø ÓÒ × Ø ÒÔÙØ × Ò Ð Ò Ø Ò Ø ÓÒ ÓÑ × ÖÓÑ Ø ÓÒ Ó Ø ÓÔÔÓ× Ø ÒØ ÖÒ ÙÖÓÒ ´Á µ Ò Ø ÓÖÖ ×ÔÓÒ Ò Ê Ò× Û ÐÐ ´Ê µº Ž Ø Å¾ Ø Á ½ Ø Á ¾ Ø Ê½ Ø Ê¾ Ø ¿ À ´ ¼ Ž µ £ ½ ´Å½ ¾¼µ £ ´Á ¾ · ʽ µ ´¾µ ´ ¼ ž µ £ ¾ ´Å¾ ¾¼µ £ ´Á ½ · ʾ µ ´¿µ ´¿¼ Á ½ µ £ ½ ´Á ½ ½¼µ £ ´Á ¾ · ʽ µ ´ µ ´¿¼ Á ¾ µ £ ¾ ´Á ¾ ½¼µ £ ´Á ½ · ʾ µ ´ µ ´¿¼ ʽ µ £ Ž ´Ê½ ½¼µ £ ʾ ´ µ ´¿¼ ʾ µ £ ž ´Ê¾ ½¼µ £ ʽ ´ µ Ð Ú Ð ×ÝÒØ ×× ÁÒ Ø × × Ø ÓÒ Ø ×Ù Ö Ù Ø× Ú ÐÓÔ Ò ÙÖÖ ÒØ ÑÓ Ö ×Ö º ÖÓÑ Ø Ø ÓÖ Ø Ð × × × Ö Ò ÔÖ Ú ÓÙ× × Ø ÓÒ¸ ÓÙÖ ÛÓÖ Ó Ù× × Ò Ø ×ÝÒØ × × Ó ¬Ö×Ø ÓÖ Ö « Ö ÒØ Ð ÕÙ Ø ÓÒ× ×Ý×Ø Ñº ÌÓ Ú Ø × Ó Ð¸ Û Ú Ó¹ × Ò ÙÖÖ ÒØ ÑÓ ÑÔÐ Ñ ÒØ Ø ÓÒ Ö Ø Ö Ø Ò ÚÓÐØ ÑÓ ÓÒ º Ì Ñ Ò Ö ×ÓÒ× ÓÖ Ø × ÓÔØ ÓÒ ÓÑ ÖÓÑ Ø Ò ÐÝ× × Ó Ø × ÓÔ Ö ØÓÖ× Û Ò ÓÖ Ø ×ÝÒØ × ×º ÙÖÖ ÒØ ÑÓ Ò ÐÓ ÑÙÐØ ÔÐ Ö× Ò ÒØ Ö ØÓÖ× Ö ×Ñ ÐÐ Ö Ø Ø Ø Ö ÚÓÐØ ÑÓ ÓÙÒØ ÖÔ ÖØ׸ Ò Ü Ø Ú ÖÝ ÓÓ Ô Ö ÓÖÑ Ò º ÇÒ Ø 28 Gin´es Dom´enech-Asensi et al.

Therefore we need 23 bits for the input of the activation function in order to represent all the values between -3548380 and 3548380. But really, we do not need to store 223 values. We could sub-sample it, but even with 14 bits we would need to store i 4 values. Nevertheless, if we take into account the sigmoid waveform we can store the significant values of the function with a much smaller LUT. In the sigmoid function (Fig. 2), most of the values are repeated, only the transition zone needs to be stored.

Download PDF sample

Rated 4.37 of 5 – based on 28 votes