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Incremental 학습과 3-layer 네트워트 구성을 위한 알고리즘
이종찬,이원돈 충남대학교 자연과학연구소 1994 忠南科學硏究誌 Vol.21 No.2
We show a neural network learning algorithm which transforms a topology of incremental model into that of an iterative model, and show the implementation result of this algorithm. For doing this, we devised an algorithm of an incremental model which finds not only a network structure by adding new neurons and layers but also the weight using near-optimal separating hyperplanes for a set of training patterns. Then an iterative model with 3-layer feedforward topology is derived from the incremental model by an appropriate manipulations. In general, we show that the weights and thresholds as well as the structure of the 3-layer feedforward neural network can be found systematically by examining the instances statistically.
2,4-Diamino-7-phenyl-6-methythiopteridine 합성에 관한 연구
이종찬,박내정,김명웅 한국유화학회 1987 한국응용과학기술학회지 Vol.4 No.1
2,4,6-Triamino-5-nitrosopyrimidine was prepared using malononitrile and guanidine carbonate, and acetylated refluxing in acetic acid with acetic anhydride in order to activate the nitroso group for nucleophilic attack. Nucleophilic attack of phenylpyrimidium bromide on the nitroso group of 2,4,6-triacetamido-5-nitrosopyrimidine gave the intermediate, which lost pyrdidine to give the nitrone derivative. Addition of the methanethiol anion to nitrone gave 2,4-diacetamido-7-phenyl-6-methylthiopteridine which was hydrolyzed to give 2,4-diamino-7-phenyl-6-methylthiopteridine. Spectral data (IR, M.S, NMR) were provided to identify the reaction products during synthesis.
Application Examples Applying Extended Data Expression Technique to Classification Problems
이종찬 한국융합학회 2018 한국융합학회논문지 Vol.9 No.12
The main goal of extended data expression is to develop a data structure suitable for common problems in ubiquitous environments. The greatest feature of this method is that the attribute values can be represented with probability. The next feature is that each event in the training data has a weight value that represents its importance. After this data structure has been developed, an algorithm has been devised that can learn it. In the meantime, this algorithm has been applied to various problems in various fields to obtain good results. This paper first introduces the extended data expression technique, UChoo, and rule refinement method, which are the theoretical basis. Next, this paper introduces some examples of application areas such as rule refinement, missing data processing, BEWS problem, and ensemble system.
이종찬 선문대학교 신학대학 2001 선문대학교 신학대학논문집 Vol.2001 No.-
서로가 서로의 문화를 접하면서 일단의 반성의 움직임들이 일어나게 되었다. 정복자들은 식민지의 문화들이 자기들의 문화와 단순 비교할 수 없는 나름대로의 독특한 가치를 가지고 있다는 것을 깨달았다. 식민지의 문화는 단지 자기들보다 싸우는 능력에 있어서만 열등할 뿐이지, 정신적인 면과 정서적인 면에 있어서는 결코 뛰떨어지지 않으며 오히려 능가하기도 한다는 것을 인식하기 시작했던 것이다. 또한 자연 과학과 물리학의 발전은 더 이상 뉴튼의 인과율이 언제 어디서나 똑같이 적용될 수는 없으며, 이 세계가 어떤 일정한 목적점을 향하여 진행되고 있지는 않다는 것을 깨닫게 해 주었다.
이종찬,이석훈 충남대학교 기초과학연구소 1998 忠南科學硏究誌 Vol.25 No.2
In this paper we considered an objective function which has been developed for the clustering algorithm. This objective function was devised to separate the objects hard to assign to one of the clusters as well as to make well-generated clusters so that it contained a special term that were usually absent in the conventional objective functions. We applied the simulated annealing technique to get a global solution minimizing the objective function and explained our implementation procedure with an illustration.