| 書目名稱 | Pattern Recognition Using Neural and Functional Networks |
| 編輯 | Vasantha Kalyani David,Sundaramoorthy Rajasekaran |
| 視頻video | http://file.papertrans.cn/743/742679/742679.mp4 |
| 概述 | Recent research in Pattern recognition using neural and functional networks |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | Biologically inspiredcomputing isdi?erentfromconventionalcomputing.Ithas adi?erentfeel; often the terminology does notsound like it’stalkingabout machines.The activities ofthiscomputingsoundmorehumanthanmechanistic as peoplespeak ofmachines that behave, react, self-organize,learn, generalize, remember andeven to forget.Much ofthistechnology tries to mimic nature’s approach in orderto mimicsome of nature’s capabilities.They havearigorous, mathematical basisand neuralnetworks forexamplehaveastatistically valid set on which the network istrained. Twooutlinesaresuggestedasthepossibletracksforpatternrecognition.They are neuralnetworks andfunctionalnetworks.NeuralNetworks (many interc- nected elements operating in parallel) carryout tasks that are not only beyond the scope ofconventionalprocessing but also cannotbeunderstood in the same terms.Imagingapplicationsfor neuralnetworksseemtobea natural?t.Neural networks loveto do pattern recognition. A new approachto pattern recognition usingmicroARTMAP together with wavelet transforms in the context ofhand written characters,gestures andsignatures havebeen dealt.The KohonenN- work,Back Propagation Networks andCompetitive Hop?eld NeuralNetwork |
| 出版日期 | Book 2009 |
| 關(guān)鍵詞 | Processing; Wavelet; algorithms; architecture; biologically inspired; cognition; computational intelligenc |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-85130-1 |
| isbn_ebook | 978-3-540-85130-1Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2009 |
|Archiver|手機(jī)版|小黑屋|
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