UDC 519.7

Structure of semantic neural net parsing text meaning in real time.[Eng, PDF] / D.E.Shuklin // Cybernetics and System Analysis. Kiev. Glushkov Institute of Cybernetics, 2001. - No 2. p. 43-48.

A synchronized linear tree as structure of links between neurons in semantic neural net, parsing text meaning in real time is described. Parsing texts meaning in natural language is distribution of neurons activation waves in the neural net. Meaning is a semantic neural net state.

Fig. 5. Ref.: 2 items.

Realization, see in readme.txt [fx21demo.zip - 45971 Bytes].

UDC 519.7

A structure of semantic neural network implementing morphological and syntactical analysis of text [Eng, PDF] /D.E.Shuklin // Kibernetika i sistemny analiz. - 2001. - No 5. P. 172-179.

A synchronized linear tree is considered as a structure of connections between neurons in semantic neural network which allows to fulfil operations of morphological and syntactical analysis operations. A synchronized linear tree can be considered as a finite automation. A dictionary entry is realized by a neural subautomation. Separate word forms of a dictionary entry are substates of such a subautomation. A change of a word consists of subautomation transition from one substate to another.

Fig. 10. Ref.: 8 items.

UDC 519.7

Implementation of a synchronized binary linear tree and its application to process a text in natural language[Eng, PDF] / Shuklin D.E. // Kibernetika i sistemny analiz. Kiev. Glushkov Institute of Cybernetics, 2002. - No 4. P.36-43

An implementation and functioning of the binary synchronized linear tree are described. A time- line structure, applied at a discourse level for processing semantic connections between elements of various sentences is proposed. A structure of a natural language text processing system is considered. It is assumed that a semiotic feedback can cause an internal monologue and self-consciousness. A semiotic feedback implementation is described on the synchronized linear tree basis. It is shown that it is possible to use an internal monologue model application for natural language phrase synthesis.

Fig. 8. Ref.: 6 items.

pat. UA20874 A61B 5/16 A way of active biofeedback regulation of physiologic state and device for its implementation.[Rus] / Claims [Rus]/ Teslenko A.I., Shuklin D.E.

UDC 519.7

Semantic neural net as a formal language for texts description and parsing in natural language.[Rus] / Z.V.Dudar, D.E.Shuklin // Radio-electronika i informatika KhTURE, 2000. No 3. p. 72-76.

Semantic neural net is a formal language for text description and parsing in natural language. Provided implementation of fuzzy data processing by neurons and implementation of neural net using synchronized and non-synchronized neurons.

Fig. 2. Ref.: 5 items.

Morphological and syntactical texts parsing as the finite state automata realized by the semantic neural network having structure of a synchronized linear tree [Rus]/D.E.Shuklin// The Fifth Scientific - Practical Seminar "New Information Technologies" - the Moscow State Institute of an Electronics Engineering and Mathematics. 2002. P. 74-85

Fig. 13. Ref.: 6 items.

UDC 519.7

Implementation of neurons for semantic neural nets that’s understanding texts in natural language.[Rus] / Z.V.Dudar, D.E.Shuklin // Radio-electronika i informatika KhTURE, 2000. No 4. p. 89-96.

Described virtual machines translations and its implementation for semantic neural nets that’s understanding texts in natural language.

Fig. 2. Ref.: 4 items.

UDC 519.7

Implementations of semantic neural net for expert system that’s transforming sense of text in natural language.[Rus] / D.E.Shuklin // Radio-electronika i informatika KhTURE, 2001. No 2. p. 61-65.

Structure of semantic neural net which working as expert system is described. Modeling of parallel fuzzy data processing by neurons in the consecutive computing system is considered. The implementation of attention management functions in research expert system ELEX-4 is described.

Realization, see in readme.txt [elex4b96.zip - 100055 Bytes].

UDC 519.7

Developing natural language text processing system based on the semantic neural network[Rus] / D.E.Shuklin // Artificial intelligence. Donetsk. Izd-in Institute of artificial intelligence problems, 2002. No 4. p. 312-320.

A connection structure of semantic neural network as the synchronized linear tree and the line of time are described. The multilevel structure of the natural language text processing system is offered. The semiotics feedback serving for correction of the entrance text processing result is described. It is revealed, that presence of the entrance text symbols and the managing subsymbols circulating in the semiotics feedback contour reminds a process of thinking. It has been assumed that the semiotic feedback can cause an internal monologue and consciousness to occur in the system.

Fig. 3. Ref.: 11 items.

UDC 519.7

Developing natural language text processing system based on the semantic neural network[Rus] / D.E.Shuklin // Materials of the international scientific and technical conference "The artificial intelligence - 2002". V. 2. Taganrog: Izd-in TRTU, 2002. pp 310-314

UDC 681.324.001.57; 681.3.00; 681.3.001

The report on research work topic 193-1, book 2: Software and hardware development for local area network and distributed database systems of modelling control systems of social and economic and technical systems. [Rus] / Teslenko A.I., Knysh A.N., Balagula R.M., Shuklin D.E., Pedchenko S.V. // UkrINTEI 1996. - NGR 0193U039124, No No 0296U000678

Illusion of power [Rus]/ Shuklin D.E.

Integers dividing [Rus]/ Shuklin D.E.