Results: 1-24 |
Results: 24
ADAPTIVE FUZZY RULE-BASED CLASSIFICATION SYSTEMS
Authors: NOZAKI K ISHIBUCHI H TANAKA H
Citation: K. Nozaki et al., ADAPTIVE FUZZY RULE-BASED CLASSIFICATION SYSTEMS, IEEE transactions on fuzzy systems, 4(3), 1996, pp. 238-250
A LEARNING ALGORITHM OF FUZZY NEURAL NETWORKS WITH TRIANGULAR FUZZY WEIGHTS
Authors: ISHIBUCHI H KWON K TANAKA H
Citation: H. Ishibuchi et al., A LEARNING ALGORITHM OF FUZZY NEURAL NETWORKS WITH TRIANGULAR FUZZY WEIGHTS, Fuzzy sets and systems, 71(3), 1995, pp. 277-293
A MULTIOBJECTIVE GENETIC LOCAL SEARCH ALGORITHM AND ITS APPLICATION TO FLOWSHOP SCHEDULING
Authors: ISHIBUCHI H MURATA T
Citation: H. Ishibuchi et T. Murata, A MULTIOBJECTIVE GENETIC LOCAL SEARCH ALGORITHM AND ITS APPLICATION TO FLOWSHOP SCHEDULING, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 28(3), 1998, pp. 392-403
AN ARCHITECTURE OF NEURAL NETWORKS WITH INTERVAL WEIGHTS AND ITS APPLICATION TO FUZZY REGRESSION-ANALYSIS
Authors: ISHIBUCHI H TANAKA H OKADA H
Citation: H. Ishibuchi et al., AN ARCHITECTURE OF NEURAL NETWORKS WITH INTERVAL WEIGHTS AND ITS APPLICATION TO FUZZY REGRESSION-ANALYSIS, Fuzzy sets and systems, 57(1), 1993, pp. 27-39
A SIMPLE BUT POWERFUL HEURISTIC METHOD FOR GENERATING FUZZY RULES FROM NUMERICAL DATA
Authors: NOZAKI K ISHIBUCHI H TANAKA H
Citation: K. Nozaki et al., A SIMPLE BUT POWERFUL HEURISTIC METHOD FOR GENERATING FUZZY RULES FROM NUMERICAL DATA, Fuzzy sets and systems, 86(3), 1997, pp. 251-270
COMPARISON OF THE MICHIGAN AND PITTSBURGH APPROACHES TO THE DESIGN OFFUZZY CLASSIFICATION SYSTEMS
Authors: ISHIBUCHI H NAKASHIMA T MURATA T
Citation: H. Ishibuchi et al., COMPARISON OF THE MICHIGAN AND PITTSBURGH APPROACHES TO THE DESIGN OFFUZZY CLASSIFICATION SYSTEMS, Electronics and communications in Japan. Part 3, Fundamental electronic science, 80(12), 1997, pp. 10-19
CONSTRUCTION OF FUZZY CLASSIFICATION SYSTEMS WITH RECTANGULAR FUZZY RULES USING GENETIC ALGORITHMS
Authors: ISHIBUCHI H NOZAKI K YAMAMOTO N TANAKA H
Citation: H. Ishibuchi et al., CONSTRUCTION OF FUZZY CLASSIFICATION SYSTEMS WITH RECTANGULAR FUZZY RULES USING GENETIC ALGORITHMS, Fuzzy sets and systems, 65(2-3), 1994, pp. 237-253
EFFICIENT FUZZY PARTITION OF PATTERN SPACE FOR CLASSIFICATION PROBLEMS
Authors: ISHIBUCHI H NOZAKI K TANAKA H
Citation: H. Ishibuchi et al., EFFICIENT FUZZY PARTITION OF PATTERN SPACE FOR CLASSIFICATION PROBLEMS, Fuzzy sets and systems, 59(3), 1993, pp. 295-304
EMPIRICAL-STUDY ON LEARNING IN FUZZY-SYSTEMS BY RICE TASTE ANALYSIS
Authors: ISHIBUCHI H NOZAKI K TANAKA H HOSAKA Y MATSUDA M
Citation: H. Ishibuchi et al., EMPIRICAL-STUDY ON LEARNING IN FUZZY-SYSTEMS BY RICE TASTE ANALYSIS, Fuzzy sets and systems, 64(2), 1994, pp. 129-144
EXPONENTIAL POSSIBILITY REGRESSION-ANALYSIS
Authors: TANAKA H ISHIBUCHI H YOSHIKAWA S
Citation: H. Tanaka et al., EXPONENTIAL POSSIBILITY REGRESSION-ANALYSIS, Fuzzy sets and systems, 69(3), 1995, pp. 305-318
GENETIC ALGORITHMS AND NEIGHBORHOOD SEARCH ALGORITHMS FOR FUZZY FLOWSHOP SCHEDULING PROBLEMS
Authors: ISHIBUCHI H YAMAMOTO N MURATA T TANAKA H
Citation: H. Ishibuchi et al., GENETIC ALGORITHMS AND NEIGHBORHOOD SEARCH ALGORITHMS FOR FUZZY FLOWSHOP SCHEDULING PROBLEMS, Fuzzy sets and systems, 67(1), 1994, pp. 81-100
GENETIC ALGORITHMS FOR FLOWSHOP SCHEDULING PROBLEMS
Authors: MURATA T ISHIBUCHI H TANAKA H
Citation: T. Murata et al., GENETIC ALGORITHMS FOR FLOWSHOP SCHEDULING PROBLEMS, Computers & industrial engineering, 30(4), 1996, pp. 1061-1071
IDENTIFICATION METHOD OF POSSIBILITY DISTRIBUTIONS AND ITS APPLICATION TO DISCRIMINANT-ANALYSIS
Authors: TANAKA H ISHIBUCHI H HAYASHI I
Citation: H. Tanaka et al., IDENTIFICATION METHOD OF POSSIBILITY DISTRIBUTIONS AND ITS APPLICATION TO DISCRIMINANT-ANALYSIS, Fuzzy sets and systems, 58(1), 1993, pp. 41-50
INTERPOLATION OF FUZZY IF-THEN RULES BY NEURAL NETWORKS
Authors: ISHIBUCHI H TANAKA H OKADA H
Citation: H. Ishibuchi et al., INTERPOLATION OF FUZZY IF-THEN RULES BY NEURAL NETWORKS, International journal of approximate reasoning, 10(1), 1994, pp. 3-27
LEARNING BY FUZZIFIED NEURAL NETWORKS
Authors: ISHIBUCHI H MORIOKA K TURKSEN IB
Citation: H. Ishibuchi et al., LEARNING BY FUZZIFIED NEURAL NETWORKS, International journal of approximate reasoning, 13(4), 1995, pp. 327-358
LEARNING OF FUZZY CLASSIFICATION RULES BY A GENETIC ALGORITHM
Authors: ISHIBUCHI H MURATA T
Citation: H. Ishibuchi et T. Murata, LEARNING OF FUZZY CLASSIFICATION RULES BY A GENETIC ALGORITHM, Electronics and communications in Japan. Part 3, Fundamental electronic science, 80(3), 1997, pp. 37-46
LOCAL SEARCH ALGORITHMS FOR FLOW-SHOP SCHEDULING WITH FUZZY DUE-DATES
Authors: ISHIBUCHI H YAMAMOTO N MISAKI S TANAKA H
Citation: H. Ishibuchi et al., LOCAL SEARCH ALGORITHMS FOR FLOW-SHOP SCHEDULING WITH FUZZY DUE-DATES, International journal of production economics, 33(1-3), 1994, pp. 53-66
MODIFIED SIMULATED ANNEALING ALGORITHMS FOR THE FLOW-SHOP SEQUENCING PROBLEM
Authors: ISHIBUCHI H MISAKI S TANAKA H
Citation: H. Ishibuchi et al., MODIFIED SIMULATED ANNEALING ALGORITHMS FOR THE FLOW-SHOP SEQUENCING PROBLEM, European journal of operational research, 81(2), 1995, pp. 388-398
MULTIOBJECTIVE GENETIC ALGORITHM AND ITS APPLICATIONS TO FLOWSHOP SCHEDULING
Authors: MURATA T ISHIBUCHI H TANAKA H
Citation: T. Murata et al., MULTIOBJECTIVE GENETIC ALGORITHM AND ITS APPLICATIONS TO FLOWSHOP SCHEDULING, Computers & industrial engineering, 30(4), 1996, pp. 957-968
NEURAL NETWORKS WITH INTERVAL WEIGHTS FOR NONLINEAR MAPPINGS OF INTERVAL VECTORS
Authors: KWON K ISHIBUCHI H TANAKA H
Citation: K. Kwon et al., NEURAL NETWORKS WITH INTERVAL WEIGHTS FOR NONLINEAR MAPPINGS OF INTERVAL VECTORS, IEICE transactions on information and systems, E77D(4), 1994, pp. 409-417
PREFACE - 3RD INTERNATIONAL-CONFERENCE ON FUZZY-LOGIC, NEURAL NETS, AND SOFT COMPUTING
Authors: ISHIBUCHI H
Citation: H. Ishibuchi, PREFACE - 3RD INTERNATIONAL-CONFERENCE ON FUZZY-LOGIC, NEURAL NETS, AND SOFT COMPUTING, International journal of approximate reasoning, 13(4), 1995, pp. 247-248
SELECTING FUZZY IF-THEN RULES FOR CLASSIFICATION PROBLEMS USING GENETIC ALGORITHMS
Authors: ISHIBUCHI H NOZAKI K YAMAMOTO N TANAKA H
Citation: H. Ishibuchi et al., SELECTING FUZZY IF-THEN RULES FOR CLASSIFICATION PROBLEMS USING GENETIC ALGORITHMS, IEEE transactions on fuzzy systems, 3(3), 1995, pp. 260-270
SELECTION OF FUZZY IF-THEN RULES BY A GENETIC METHOD
Authors: ISHIBUCHI H NOZAKI K YAMAMOTO N TANAKA H
Citation: H. Ishibuchi et al., SELECTION OF FUZZY IF-THEN RULES BY A GENETIC METHOD, Electronics and communications in Japan. Part 3, Fundamental electronic science, 77(2), 1994, pp. 94-104
SINGLE-OBJECTIVE AND 2-OBJECTIVE GENETIC ALGORITHMS FOR SELECTING LINGUISTIC RULES FOR PATTERN-CLASSIFICATION PROBLEMS
Authors: ISHIBUCHI H MURATA T TURKSEN IB
Citation: H. Ishibuchi et al., SINGLE-OBJECTIVE AND 2-OBJECTIVE GENETIC ALGORITHMS FOR SELECTING LINGUISTIC RULES FOR PATTERN-CLASSIFICATION PROBLEMS, Fuzzy sets and systems, 89(2), 1997, pp. 135-150
Risultati: 1-24 |