Neural Network  Paper

 

What is Neural Network? : Warren S. Sarle 1997

»ý¹°ÇÐÀû ½Å°æ¸Á°ú ANN : Robert J. Schalkoff 1997

ÀÎÁö½É¸®ÇÐ - ½Å°æȸ·Î¸ÁÀû Á¢±Ù : ¼­·Ð, ½Å°æȸ·Î¸ÁÀÇ ±¸Á¶¿Í ¿ªµ¿¼º : Colin Martindale

°áÇÕÁÖÀÇ ¸ðÇü   °áÇÕÁÖÀÇ À̷еé : Robert J. Sternberg

µðÁöÅÐ ½Å°æ¼¼Æ÷ : Peter J. Bentley

½Å°æ¸Á(Neural Networks) : Àå³²½Ä.È«¼º¿Ï.ÀåÀçÈ£

°úÇÐÀû Ã߸®¿¡ °üÇÑ ÀÎÁöÀû È®·ü¸ðµ¨ ¿¬±¸ (A Study of Cognitive Probabilistic Model for Scientific Inference) : ÀÌ¿µÀÇ, öÇבּ¸È¸, 2003

±â¾÷µµ»ê ¿¹ÃøÀ» À§ÇÑ ±Í³³Àû ÇнÀÁö¿ø Àΰø½Å°æ¸Á Á¢±Ù¹æ¹ý : MDA, ±Í³³Àû ÇнÀ¹æ¹ý, Àΰø½Å°æ¸Á ¸ðÇü°úÀÇ ¼º°ú ºñ±³ (An Inductive Learning-Assisted Neural Network Approach to Bankruptcy Prediction : Comparison with MDA , Inductive Learning , and Neural Network Models) : ÀÌ°Çâ, ±è¸íÁ¾, ±èÇõ, °æ¿µÇבּ¸, 1994

´º·²-ÆÛÁö Á¦¾î±â¹ý¿¡ ÀÇÇÑ µÎ ±¸µ¿ÈÙÀ» °®´Â À̵¿Çü ·Îº¿ÀÇ ÀÚ¼¼ ¹× ¼ÓµµÁ¦¾î (The Azimuth and Velocity Control of a Mobile Robot with Two Drive Wheels by Neural-Fuzzy Control Method) : Á¶¿ë±æ, ¹èÁ¾ÀÏ, Çѱ¹µ¿·Â±â°è°øÇÐȸ, 1998

´ÙÃþ ½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ ºñÁ᫐ F ºÐÆ÷ È®·ü°è»ê (Computation of Noncentral F Probabilities using multilayer neural network) : ±¸¼±Èñ, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 2002

´ÙÃþ½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ ¾ó±¼°Ë»ö ¾Ë°í¸®Áò (The Facial Image Searching Algorithm using Multi-Layer Neural Networks) : ¹Úö¿õ, ÀÌÀιü, À̺´¿ë, ¹Ú¼öºÀ, Çѱ¹¸ÖƼ¹Ìµð¾îÇÐȸ, 1999

´Ü¼ø ½Å°æȸ·Î¸ÁÀÇ ¼³°è ¹× ±¸Çö : ¿ì¿øÅÃ, Çѱ¹Á¤º¸½Ã½ºÅÛÇÐȸ, 2000

·Î¹ö½ºÆ® ´ÙÃæÀü¹æÇ⠽Űæ¸ÁÀ» ÀÌ¿ëÇÑ ÆÐÅÏÀÎ½Ä (Pattern Recognition using Robust Feedforward Neural Networks) : ±è»ó¹Î, ȲâÇÏ, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 1998

·Îº¿ ¸Å´Ïǽ·¹ÀÌÅÍ Á¦¾î¸¦ À§ÇÑ °³Á¶µÈ ÀÚ±âÁ¶Á÷È­ ½Å°æ¸Á °³¹ß (Development of the Revised Self-Organizing Neural Network for Robot Manipulator Control) : ÀÌÁ¾ÅÂ, ±¸ÅÂÈÆ, ´ëÇÑ»ê¾÷°øÇÐȸ, 1999

¸»ÃÊÇ÷¾× ¿µ»ó¿¡¼­ ½Å°æ¸Á ¸ðµ¨À» ÀÌ¿ëÇÑ ÀûÇ÷±¸ÀÇ ÇüÅÂÇÐÀû º¯ÀÌ ºÐ·ù (Morphological Variation Classification of Red Blood Cells using Neural Network Model in the Peripheral Blood Images) : ±è°æ¼ö, ±èÆDZ¸, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 1999

¹ÙÀÌÆÛijÀÌÆà ´º·± ³×Æ®¿öÅ© (Bifurcating Neuron Networks) : À̱âÇõ, Çѱ¹³úÇÐȸ, 2002

º£ÀÌÁö¾È SOM °ú º×½ºÆ®·¦À» ÀÌ¿ëÇÑ ¹®¼­ ±ººñÈ­¿¡ ÀÇÇÑ ¹®¼­ ¼øÀ§Á¶Á¤ (A Document Ranking Method by Document Clustering Using Bayesian SOM and Bootstrap) : ÀÌÁ¤Çö, ÃÖÁØÇõ, Àü¼ºÇØ, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 2000

º£ÀÌÁö¾È ½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ ºÐ·ùºÐ¼® (A Classification Analysis using Bayesian Neural Network) : ȲÁø¼ö, ÃÖ¼º¿ë, ÀüÈ«¼®, Çѱ¹µ¥ÀÌÅÍÁ¤º¸°úÇÐȸ, 2001

ºÐ»ê Á¤º¸°Ë»öÀ» À§ÇÑ ½Å°æ¸Á ±â¹Ý »ç¿ëÀÚ Çǵå¹é ÇнÀ ¸ÞÄ«´ÏÁò (Neural Net Based User Feedback Learning Mechanism for Distributed Information Retrieval) :ÃÖ¿ë¼®, Çѱ¹ÄÄÇ»Åͱ³À°ÇÐȸ, 2001

»ç·Ê±â¹ÝÃ߷аú Àΰø½Å°æ¸ÁÀ» °áÇÕÇÑ Áö´ÉÀûÀÎ °æ¿µÀü·« ¼ö¸³ ¸ðÇü¿¡ °üÇÑ ¿¬±¸ (A Study on the Intelligent Strategic Planning Model that Combines a Case - Based Reasoning and a Neural Network) : ÀÌ°Çâ, ÀÌö¿ø, Çѱ¹°æ¿µÁ¤º¸ÇÐȸ, 1998

½Å°æ¸Á ¹× Åë°èÀû Ŭ·¯½ºÅ͸µÀÇ ¼º´É ºñ±³ºÐ¼® (Comparative Analysis of Neural and Statistical Clustering) : Çã¹®¿­, ¹ÎÁØ¿µ, Åë°è¿¬±¸, 1996

½Å°æ¸Á À̷п¡ ÀÇÇÑ ½Ã°è¿­ ÀÚ·áÀÇ ºÐ¼® : À±¿©Ã¢, Çã¹®¿­, Çѱ¹Åë°èÇÐȸ , 1997

½Å°æ¸Á ±â¹ýÀ» ÀÌ¿ëÇÑ ±â¾÷ºÎ½Ç ¿¹Ãø¿¡ °üÇÑ ¿¬±¸ : Á¤±â¿õ, È«°ü¼ö, À繫°ü¸®¿¬±¸, 1995

½Å°æ¸Á¿¡¼­ È°¼ºÈ­ÇÔ¼öÀÇ ±¸Çö¿¡ °üÇÑ ¿¬±¸ (A Study on the Realization of Activation Function in Neural Network) : ¹ÚÀÎÁ¤, ´Ü±¹´ë ½Å¼ÒÀ翬±¸³íÁý, 1992

½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ ÆÐÅÏÀνĿ¡ ´ëÇÑ °íÂû (On Pattern Recognition Using Neural Network) : ȲâÇÏ, ´ë±¸È¿¼º°¡Å縯´ë ±âÃÊ°úÇבּ¸³íÁý, 1996

½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ ºñ¸ð¼ö ȸ±ÍºÐ¼®¿¡ °üÇÑ ¼Ò°í (On Nonparametric Regression Method Using Neural Networks) : ȲâÇÏ, À¯Áö¿µ, ´ë±¸È¿¼º°¡Å縯´ë ±âÃÊ°úÇבּ¸³íÁý, 1997

½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ ½Ã°è¿­ÀÇ ºÐÇغм® (Decomposition Analysis of Time Series Using Neural Networks) : Áö¿øö, ´ëÇÑ»ê¾÷°øÇÐȸ, 1999

½Å°æ¸ÁÀ̷п¡ ÀÇÇÑ ºñÁß½ÉTºÐÆ÷ È®·ü°è»ê (Computation of Noncentral T Probabilities using Neural Network Theory) : ±¸¼±Èñ, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 1997

¿À·ù-¿ªÀüÆÄ ½Å°æ¸Á ±â¹ÝÀÇ ¾ó±¼ °ËÃâ ¹× Æ÷Áî ÃßÁ¤ (Back-Propagation Neural Network Based Face Detection and Pose Estimation) : ÀüÀÎÀÚ, ÀÌÀçÈÆ, ÀÌÁ¤ÈÆ, ÀÌÇʱÔ, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ B 9±Ç 6È£, 2002

À¥ ȯ°æ¿¡¼­ Àΰø½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ Áõ»ó Áø´Ü ½Ã½ºÅÛ (Symptoms-Diagnostic System using Artificial Neural Networks in a Web Environment) : ±èº´Ãµ, ±è»ï±Ù, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 2002

À§Ä¡º¯È¯ ÆÐÅÏÀνÄÀ» À§ÇÑ ´ÙÇ×½Ä °íÂ÷ ´º·²³×Æ®¿öÅ© (Polynomial Higher Order Neural network for shift - invariant Pattern Recognition) : Á¤Á¾¼ö, È«¼ºÂù, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 1997

À¯ÀüÀÚ ¾Ë°í¸®Áò°ú ½Ã¹Ä·¹ÀÌƼµå ¾î´Ò¸µÀ» ÀÌ¿ëÇÑ È°¼º¿Ü°û¼± ¸ðµ¨ÀÇ ¿¡³ÊÁö ÃÖ¼ÒÈ­ ±â¹ý ºñ±³ (Comparison of Genetic Algorithm and Simulated Annealing Optimization Technique to Minimize the Energy of Active Contour Model) : ¹Ú¼±¿µ, ±è¸íÈñ, ¹ÚÁÖ¿µ, ÄÄÇ»Åͱ׷¡ÇÈÇÐȸ, 1998

À¯ÀüÀÚ ¾Ë°í¸®Áò¿¡ ÀÇÇÑ Àڱⱸ¼º ´ÙÇ×½Ä ´º·²³×Æ®¿öÅ© ÃÖÀû ¼³°è (Optimal Design of Self-Organizing Polynomial Neural Networks By Means of Genetic Algorithms) : ¹ÚÈ£¼º, ¹Úº´ÁØ, ¿À¼º±Ç, ¿ø±¤´ë °ø¾÷±â¼ú°³¹ß¿¬±¸Áö, 2002

À¯ÀüÀÚ ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÑ ½Å°æ¸Á ¼³°è (Artificial Intelligence : Designing Neural Network Using Genetic Algorithm) : ¹ÚÁ¤¼±, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 1997

À¯ÀüÀÚ¿Í ¿ªÀüÆÄ ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÑ È¿À²ÀûÀÎ À±°û¼± ÃßÃâ (The Efficient Edge Detection using Genetic Algorithms and Back-Propagation Network) : ÀÌ¿õ±â, ¹Úõ¶õ, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 1998

À¯ÇÑ »óÅ ¿ÀÅ丶ŸÀÇ Ãß·ÐÀ» À§ÇÑ ÀÌÂ÷ ¼øȯ ½Å°æ¸ÁÀÇ ÇнÀ ½Ã°£ ´ÜÃà (Reducing learning time of Second-order Recurrent Neural Network inferring Finite State Automata) : ·ù¼ö±æ, °­È¿Áø, Á¤Çö±â, Á¤¼øÈ£, Çѱ¹¸ÖƼ¹Ìµð¾îÇÐȸ, 1999

À½¼ºÀνÄÀ» À§ÇÑ »õ·Î¿î È¥¼º recurrent TDNN-HMM ±¸Á¶¿¡ °üÇÑ ¿¬±¸ (A study on the new hybrid recurrent TDNN - HMM architecture for speech recognition) : ÀåÃá¼­, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 2001

Àΰø½Å°æ¸Á ¸ðÇüÀ» ÀÌ¿ëÇÑ ÁÖ°¡ÀÇ ¿¹Ãø°¡´É¼º¿¡ °üÇÑ ¿¬±¸ : À±¿µ¼·, Á¤¿ë°ü, À繫°ü¸®¿¬±¸, 1998

Àΰø½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ ÆÛÁö ±ÔÄ¢ ÀνĽýºÅÛ (Fuzzy Rule Identification System using Artificial Neural Networks) : Àå¹®¼®, Àå´öö, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ , 1995

Àΰø½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ Çʱâü ÇѱÛÀÇ ÀÚµ¿ºÐ·ù¿Í ÀÎ½Ä : Á¶¿ÏÇö, Çѱ¹Åë°èÇÐȸ, 1999

Àΰø½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ ÃÖÃÊ°ø¸ðÁÖ½ÄÀÇ ÃÖÃÊ ±ÕÇü ½ÃÀå°¡°ÝÀÇ ¿¹Ãø : ÇÑÀα¸, ±Ç¿ë¼®, Çѱ¹°æ¿µÇÐȸ, 1996

Àΰø½Å°æ¸ÁÀÇ ÆÐÅϺм®¿¡ ±Ù°ÅÇÑ Áö´ÉÀû ºÎÇ°Ç°Áú °ü¸®½Ã½ºÅÛÀÇ ¼³°è (Design of Intelligent Material Quality Control System based on Pattern Analysis using Artificial Neural Network) : ¹Ú»óÂù, ÀÌÀåÈñ, À¯¼ºÁö, Çѱ¹Ç°Áú°æ¿µÇÐȸÁö, 2001

ÀÚ±âÁ¶Á÷È­ Áöµµ¸¦ À§ÇÑ º£ÀÌÁö¾È ÇнÀ (Bayesian Learning for Self Organizing Maps) : ȲÁø¼ö, ÀüÈ«¼®, Àü¼ºÇØ, Çѱ¹Åë°èÇÐȸ, 2002

Àü¹®°¡½Ã½ºÅÛ°ú Àΰø½Å°æ¸ÁÀÇ ÅëÇÕ¿¡ °üÇÑ ÀÌ·ÐÀû °ËÅä (Integrating Expert Systems and Artificial Neural Networks : A Theoretical review) : ±è½Â¿î, ÀüºÏ´ë »ê¾÷°æÁ¦¿¬±¸¼Ò, 1995

Á¤½ÅºÐ¿­º´ÀÇ Àΰø½Å°æ¸Á ¸ðµ¨ (Neural Network Model of Schizophrenia) : ÀÌö, ÀÌÀç¿ø, ±èâÀ±, Çѱ¹Á¤½Åº´¸®Áø´ÜºÐ·ùÇÐȸ, 2000

Áö´ÉÀû Àü·«°èȹ ½Ã½ºÅÛ ¼³°è¸¦ À§ÇÑ Áö½Ä±âÃÊ ÀÇ»ç°áÁ¤Áö¿øüÁ¦¿Í Àΰø½Å°æ¸ÁÀÇ °áÇÕ (Synergism of Knowledge-Based Decision Support Systems and Neural Networks to Design an Intelligent Strategic Planning System) : ÀÌ°Çâ, Çѱ¹°æ¿µÁ¤º¸ÇÐȸ, 1992

ÆÐÅÏÀÎ½Ä ¼º´ÉÀ» Çâ»ó½ÃÅ°´Â »õ·Î¿î ÇüÅÂÀÇ ¼øȯ½Å°æ¸Á (A New Type of Recurrent Neural Network for the Improvement of Pattern Recognition Ability) : ±èº´±â, Á¤³«¿ì, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 1997

ÆÛÁö ½Å°æ¸Á¿¡ ÀÇÇÑ ÆÛÁö ȸ±ÍºÐ¼® (Fuzzy Regression Analysis Using Fuzzy Neural Networks) : ±Ç±âÅÃ, ´ëÇÑ»ê¾÷°øÇÐȸ, 1997

ÆÛÁö º¤ÅÍ ¾çÀÚÈ­±â »ç»óÈ­¿Í ½Å°æ¸Á¿¡ ÀÇÇÑ È­ÀÚÀûÀÀ À½¼ºÇÕ¼º (Speaker-Adaptive Speech Synthesis based on Fuzzy Vector Quantizer Mapping and Neural Networks) : À̱¤Çü, ÀÌÁøÀÌ, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 1997

ÆÛÁö Á¦¾î½Ã½ºÅÛÀ» À§ÇÑ Àΰø ½Å°æ¸Á ¼³°è (Design of Artificial Neural Networks for Fuzzy Control System) : Àå¹®¼® (¼øõ´ë Àü»ê°ú), Àå´öö (±¤¿î´ë Àü»ê°ú), Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 1995

ÆÛÁö-´º·² ³×Æ®¿öÅ©ÀÇ »õ·Î¿î ¼³°è¿Í ºñ¼±Çü °øÁ¤À¸·ÎÀÇ ÀÀ¿ë (A New Approach to Fuzzy-Neural Networks and Its Application to Nonlinear Processes) : ¹ÚÈ£¼º, ¿À¼º±Ç, ¿ø±¤´ë °ø¾÷±â¼ú°³¹ß¿¬±¸Áö, 2001

ÆÛÁö¼ö¸® ÇüÅÂÇÐÀû ½Å°æ¸Á : ¿ø¸®¿Í ±¸Çö (A Fuzzy Morphological Neural Network : Principles and Implementation) : ¿ø¿ë°ü, À̹èÈ£, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 1996

ÇÏÀ̺긮µå ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÑ ½Å°æ¸ÁÀÇ ÇнÀ¼º´É °³¼± (Improving the Training Performance of Neural Networks by using Hybrid Algorithm) : °­Àα¸, ±è¿ø¿í, ±è¿µÀÏ, Á¶¿ëÇö, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 1997

ÇÏÀ̺긮µå SOM À» ÀÌ¿ëÇÑ È¿À²ÀûÀÎ Áö½Äº£À̽º °ü¸® (An Efficient Knowledge Base Management Using Hybrid SOM) : ¿ÕâÁ¾, ÃÖÁØÇõ, À±°æ¹è, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 2002

È¥ÇÕµÈ GA-BP ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÑ ¾ó±¼ÀÎ½Ä ¿¬±¸ (A Study on Face Recognition using a Hybrid GA-BP Algorithm) : ÀüÈ£»ó, ³²±ÃÀçÂù, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 2000

ȸ±ÍºÐ¼®À» À§ÇÑ ·Î¹ö½ºÆ® ½Å°æ¸Á : ±è»ó¹Î, ¹ÚÈñÁÖ, ȲâÇÏ, Çѱ¹Åë°èÇÐȸ, 1997

ȸÀü°ú Å©±âº¯È­¿¡ ¹«°üÇÑ ½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ Áö¹®ÀÎ½Ä (Rotation and Size Invariant Fingerprint Recognition Using The Neural Net) : À̳²ÀÏ, ¿ì¿ëÅÂ, ÀÌÁ¤È¯, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 1994

Backpropagation Network ÀÇ Autoassociation Memory ±â¹ýÀ» ÅëÇÑ ÆÐÅÏÀνĿ¡ ÀÀ¿ë (Pattern Recognition Application Using Autoassociative Backpropagation Network) : Áø¼ºÀÏ, ±èÀÎö, ¹è°Ç¼º, °æºÏ´ë ÀüÀÚ±â¼ú¿¬±¸Áö, 1990

Cascade-Correlation Network ¸¦ ÀÌ¿ëÇÑ Á¾ÇÕÁÖ°¡Áö¼ö ¿¹Ãø : Áö¿øö, ¹Ú½Ã¿ì, ½ÅÇöÁ¤, ½ÅÈ«¼·, ´ëÇÑ»ê¾÷°øÇÐȸ, 1996

Cauchy / Kohonen ¼øÂ÷ °áÇÕ ÇнÀ¹ýÀ» »ç¿ëÇÑ º¤Å;çÀÚÈ­ (Vector Quantization Using Cascaded Cauchy / Kohonen training) : ¼Û±Ù¹è, ÇѸ¸±Ù, ÀÌÇ༼, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 2001

M2 °æÀïÀÚ·á¿Í ½Å°æ¸Á (M2 Competition Data and Neural Networks) : Áö¿øö, Çѱ¹°æ¿µÁ¤º¸ÇÐȸ, 1998

SOM (Self-Organization Map) À» ÀÌ¿ëÇÑ ·Îº¿ ¸Å´Ïǽ·¹ÀÌÅÍ Ã浹ȸÇÇ °æ·Î°èȹ (Collision-Free Path Planning for Robot Manipulator using SOM) : ÀÌÁ¾ÅÂ, ÀÌÁ¾¿ì, ´ëÇÑ»ê¾÷°øÇÐȸ, 1996

SOM °ú PRL À» ÀÌ¿ëÇÑ °íÀ¯¾ó±¼ ±â¹ÝÀÇ ¸Ó¸®µ¿ÀÛ ÀÎ½Ä ¹æ¹ý (A Head Gesture Recognition Method based on Eigenfaces using SOM and PRL) : ÀÌ¿ìÁø, Çѱ¹Á¤º¸Ã³¸®ÇÐȸ, 2000