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Soft Computing in Artificial Intelligence 2014
- Young Im Cho, Eric T. Matson:
Soft Computing in Artificial Intelligence. Advances in Intelligent Systems and Computing 270, Springer 2014, ISBN 978-3-319-05514-5 - Young Key Kim, Won Keun Min:
Fuzzy (r, s)-Minimal Preopen Sets and Fuzzy (r, s)-M Precontinuous Mappings on (r, s)-Fuzzy Minimal Spaces. 1-8 - Young Key Kim, Won Keun Min:
On Fuzzy (r, s)-Minimal β-Open Sets on (r, s)-Fuzzy Minimal Spaces. 9-17 - Katsuhiro Honda, Akira Notsu, Chi-Hyon Oh:
Handling Very Large Cooccurrence Matrices in Fuzzy Co-clustering by Sampling Approaches. 19-27 - Mai Muranishi, Katsuhiro Honda, Akira Notsu:
Xie-Beni-Type Fuzzy Cluster Validation in Fuzzy Co-clustering of Documents and Keywords. 29-38 - Shunsuke Iwata, Katsuhiro Honda, Akira Notsu:
Fuzzy c-Regression Models Based on Optimal Scaling of Categorical Observation with Tolerance. 39-47 - Bo Peng, Lei Li
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Combination of Genetic Algorithm and Ant Colony Optimization for QoS Multicast Routing. 49-56 - Lyazzat Atymtayeva, Kanat T. Kozhakhmet, Gerda Bortsova
Building a Knowledge Base for Expert System in Information Security. 57-76 - B. Ganesh Kumar, S. R. Shankapal, A. S. Ravindran, Keith J. Burnham, E. Ramakrishnan:
Fuzzy Logic and Neural Network Based Induction Control in a Diesel Engine. 77-91 - Yasunori Takemura, Muneyuki Yokoyama, Sho Omori, Ryo Shimosaka:
Evaluation and Analysis of Relationship between Roles and Individual's Role Adaptation in Team Sports Using SOM - Data Analysis and Introduction of Theory. 93-106 - Tae-Chon Ahn, Seok-Beom Roh, Zi Long Yin
Design of Radial Basis Function Classifier Based on Polynomial Neural Networks. 107-115 - Ho-Hyun Lee, Sang-Bok Jang, Gang-Wook Shin, Sung-Taek Hong, Myung-Geun Chun:
Recursive Neuro-Fuzzy Algorithm for Flow Prediction and Pump On-Off Minimization. 117-124 - Junji Saikawa, Takehisa Onisawa:
Logotype Design Support System Based on Sketches. 125-142 - Kenji Iwadate, Ikuo Suzuki, Michiko Watanabe, Masahito Yamamoto, Masashi Furukawa:
An Artificial Neural Network Based on the Architecture of the Cerebellum for Behavior Learning. 143-151
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