000			03178nmm a2200337 a 4500
001			00010119
003			WSP
005			20240731095227.0
007			cr |uu|||uu|||
008			190409s2019 si a ob 001 0 eng d
010			_z 2018051021
040			_aWSPC _beng _cWSPC
020			_a9789813143180 _q(ebook)
020			_z9789813143173 _q(hbk.)
050	0	4	_aQA76.9.N37 _bB57 2019
082	0	4	_a006.3/8 _223
245	0	0	_aBio-inspired computing models and algorithms _h[electronic resource] / _cedited by Tao Song ... [et al.].
260			_aSingapore : _bWorld Scientific Publishing Co. Pte Ltd., _c©2019.
300			_a1 online resource (300 p.) : _bill.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
588			_aTitle from web page (viewed April 9, 2019).
504			_aIncludes bibliographical references and index.
505	0		_aCh. 1. A gentle introduction to membrane systems and their computational properties / Alberto Leporati ... [et al.] -- ch. 2. Results on computational complexity in bio-inspired computing / Mario J. Perez-Jimenez ... [et al.] -- ch. 3. Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks / Xuan Zhang and Xiangxiang Zeng -- ch. 4. Evolutionary algorithm for solving complex multiobjective optimization problems / Ye Tian and Xingyi Zhang -- ch. 5. A bio-inspired clustering model for anomaly detection in the mining industry / Raymond Chiong ... [et al.] -- ch. 6. Picture generating models based on the splicing operation / K. G. Subramanian, G. Samdanielthompson and N. Gnanamalar David -- ch. 7. Fingerprint minutiae to fixed-length bit-string: a review of recent development / Zhe Jin, Wei-Jing Wong and Andrew Beng Jin Teoh -- ch. 8. Platform for detection of ultra-DNA signals (10-18 mol/L) with DNA probe and nanomaterials / Xun Wang and Ben Hoo Mook -- ch. 9. Deep autoencoders in pattern recognition: a survey / Junfen Chen ... [et al.] -- ch. 10. Genetic algorithm: from promiscuity to monogamy / Ting Yee Lim and Choo Jun Tan.
520			_a"Bio-inspired computing (BIC) focuses on the designs and developments of computer algorithms and models based on biological mechanisms and living phenomena. It is now a major subfield of natural computation that leverages on the recent advances in computer science, biology and mathematics. The ideas provide abundant inspiration to construct high-performance computing models and intelligent algorithms, thus enabling powerful tools to solve real-life problems. Written by world-renowned researchers, this compendium covers the most influential topics on BIC, where the newly-obtained algorithms, developments and results are introduced and elaborated. The potential and valuable directions for further research are addressed as well."-- _cPublisher's website.
650		0	_aNatural computation. _910477
655		0	_aElectronic books. _93294
700	1		_aSong, Tao, _d1983- _9178568
856	4	0	_uhttps://www.worldscientific.com/worldscibooks/10.1142/10119#t=toc _zAccess to full text is restricted to subscribers.
942			_cEBK
999			_c97827 _d97827