- Péter Szolgay, doctor of HAS, research advisor
Publications[ order by time]
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[ order by authors]
2000.- A comparison of the different CNN implementations in solving the problem of spatiotemporal dynamics in mechanical systems.
- An analogic CNN algorithm for following continuously moving objects.
- CNN technology in action.
Authors: Zarándy, Á; Espejo, S; Földesy, P; Kék, L; Linán, G; Rekeczky, C; Rodriguez-Vázquez, A; Roska, T; Szatmári, I; Szirányi, T; Szolgay, PDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2000.Published by: Proceedings of the 6th IEEE international workshop on cellular neural networks and their applications. (CNNA 2000). Catania, 2000. (Page: 79-81)
- A CNN application development environment and toolkit, CADETWin.
Authors: Roska, T; László, K; Kék, L; Kozek, T; Nemes, L; Rekeczky, C; Szatmári, I; Zarándy, A; Zöld, S; Szolgay, PDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2000.Published by: Towards the visual microprocessor. VLSI design and the use of cellular neural network universal machines. (Page: 39-58)
- A development system for prototyping and interfacing CNN chips and for analogic algorithm design.
- An optical robot path tracking system.
- A CNN Univerzális Gép (CNNUM) mint bonyolult mérnöki számítások eszköze : téranalízis a mechanikában, minőségellenőrzés az elektronikában.
1999.- An emulated digital CNN Implementation.
Authors: Keresztes, P; Zarándy, Á; Roska, T; Szolgay, P; Bezák, T; Hídvégi, T; Jónás, P; Katona, ADepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1999.Published by: JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY (Volume no.: 23, Issue no.: 2-3, Page: 291-303)
- A new type of analogic CNN agorithmfor printed circuit board layout error detection.
- An analogic CNN algorithm for following continously moving objects. (Research report of the Analogical and Neural Computing Laboratory, DNS-8-1999.)
- The computational infrastructure of analogic CNN computing - Part I: The CNN-UM chip prototyping system.
- Celluláris neurális hálózatok és analogikai vizuális mikroprocesszorok - áttekintés.
- The computational infrastructure for cellular visual microprocessors.
Authors: Szolgay, P; Zarándy, Á; Zöld, S; Roska, T; Földesy, P; Kék, L; Kozek, T; László, K; Petrás, I; Rekeczky, CS; Szatmári, I; Bálya, DDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1999.Published by: MicroNeuro '99. Proceedings of the seventh international conference on microelectronics for neural, fuzzy, and bio-inspired systems. Granada, 1999. (Page: 54-60)
- Analogic algorithms for optical detection of breaks and short circuits on the layouts of printed circuits boards using CNN.
- The CADETWin application software design system - a tutorial.
Authors: Szolgay, P; László, K; Kék, L; Kozek, T; Nemes, L; Petrás, I; Rekeczky, CS; Szatmári, I; Zarándy, Á; Zöld, S; Roska, TDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1999.Published by: Design automation day on cellular visual microprocessor. Stresa, 1999. (Page: 58-68)
- CNN chip prototyping and development systems.
1997.- A CNN engine board.
- Feature detection in noisy images with cellular neural networks.
- 0.8-?m CMOS two-dimensional programmable mixed-signal focal-plane array processor with on-chip binary imaging and instructions storage.
Authors: Domínguez-Castro, R; Espejo, S; Rodríguez-Vázquez, A; Carmona, RA; Földesy, P; Zarándy, Á; Szolgay, P; Szirányi, T; Roska, TDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1997.Published by: IEEE JOURNAL OF SOLID-STATE CIRCUITS (Volume no.: 32, Issue no.: 7, Page: 1013-1026)
- Real-time adaptive control of robot manipulators using cellular neural networks.
- Ultra fast image processing via CNN technology.
- A fast fixed point learning method to implement associative memory on CNN's.
- Toward the application of an analog input dual output CNNNUM chip in transient analysis of mechanical vibrating systems.
- Minimal wire width violation detection on layouts of printed circuit boards by using a CNN universal machine chip. ( Research report of the Department of Image Processing and Neurocomputing IPNC-1-1997.)
Authors: Szántó, Z; Szüreti, G; Tömördi, K; Szolgay, PDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1997.Published by: Minimal wire width violation detection on layouts of printed circuit boards by using a CNN universal machine chip. ( Research report of the Department of Image Processing and Neurocomputing IPNC-1-1997.) (Page: 9)
- Functional measurements of the first analog input/output CNN universal chip. (Research report of the Analogical and Neural Computing Laboratory, DNS-4-1997.)
1996.- Real-time adaptive control of robot manipulators using Cellular Neural Networks. ( Research report of the Analogical and Neural Computing Laboratory DNS-10-1996.)
- Real-life application case studies using CMOS 0.8 mm CNN universal chip: analogic algorithm for motion detection and texture segmentation.
- ACE: A digital floating point CNN emulator engine.
Authors: Fehér, B; Szolgay, P; Roska, T; Radványi, AG; Szirányi, T; Csapodi, M; László, K; Nemes, L; Szatmári, I; Tóth, G; Venetianer, PLDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1996.Published by: 1996 fourth IEEE international workshop on Cellular Neural Networks and their applications proceedings. CNNA-96. Seville, 1996. (Page: 273-278)
- Improving the noisy feature detection capability of feedforward Cellular Neural Networks by introducing don't- care template elements.
- A fast learning method to implement associative memory of CNNs.(Research report of Analogical and Neural Computing Laboratory, DNS-9-1996.)
- The first steps toward the application of the CNN chips.
- Test results in an experimental system for optical detection of layout errors of printed circuit boards using CNN.( Research report of the Department of Image Processing and Neurocomputing, IPCN-1-1996.)
Authors: Szolgay, P; Tömörödi, KDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1996.Published by: Test results in an experimental system for optical detection of layout errors of printed circuit boards using CNN.( Research report of the Department of Image Processing and Neurocomputing, IPCN-1-1996.) (Page: 6)
- Robot control functions using CNN chips with on-chip optical input.
- Optical detection of breaks and short circuits on the layouts of printed circuit boards using CNN.
- On the detection of critical frequencies of a tool machine.
- Analogue combinatorics and cellular automata - key algorithms and layout design.
1992.- Cell placement of almost regular structures
- A digital multiprocessor hardware accelerator board for cellular neural networks: CNN-HAC
Authors: Roska, T; Bártfay, G; Szolgay, P; Szirányi, T; Radványi, A; Kozek, T; Ugray, ZS; Zarándy, ÁDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1992.Published by: INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS (Volume no.: 20, Issue no.: 5, Page: 589-599)
- An experimental system for optical detection of layout errors of printed circuit boards using learned CNN templates
- An experimental system for optical detection of layout errors using analog software on a dual CNN (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-14-1992.)
Authors: Szolgay, P; Kispál, I; Kozek, TDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1992.Published by: An experimental system for optical detection of layout errors using analog software on a dual CNN (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-14-1992.) (Page: 18)
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