. "In this paper we introduce a self-organizing neural network that is capable of recognition of temporal signals. Conventional self-organizing neural networks like recurrent variant of Self-Organizing Map provide clustering of input sequences in space and time but the identification of the sequence itself requires supervised recognition process, when such network is used. In our network called TICALM the recognition is expressed by speed of convergence of the network while processing either learned or an unknown signal. TICALM network capabilities are shown on an experiment with handwriting recognition." . "neural networks; signal recognition"@en . "Koutn\u00EDk, Jan" . "\u0160norek, Miroslav" . "Heidelberg" . . "RIV/68407700:21230/06:03121571" . "Self-Organizing Neural Networks for Signal Recognition"@en . "21230" . . "Athens" . "498826" . . "2006-09-10+02:00"^^ . "2"^^ . "Self-Organizing Neural Networks for Signal Recognition" . "[C641AC6A6936]" . "Z(MSM6840770012)" . "Nen\u00ED k dispozici"@cs . . . "2"^^ . . . "16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I" . . "Springer-Verlag" . . "Nen\u00ED k dispozici"@cs . "In this paper we introduce a self-organizing neural network that is capable of recognition of temporal signals. Conventional self-organizing neural networks like recurrent variant of Self-Organizing Map provide clustering of input sequences in space and time but the identification of the sequence itself requires supervised recognition process, when such network is used. In our network called TICALM the recognition is expressed by speed of convergence of the network while processing either learned or an unknown signal. TICALM network capabilities are shown on an experiment with handwriting recognition."@en . "3-540-38625-4" . "Self-Organizing Neural Networks for Signal Recognition"@en . . "9"^^ . "Nen\u00ED k dispozici"@cs . "RIV/68407700:21230/06:03121571!RIV07-MSM-21230___" . . . "Self-Organizing Neural Networks for Signal Recognition" . "406 ; 414" . . . .