2009 |
125 | EE | Tzung-Pei Hong,
Cheng-Ming Huang,
Shi-Jinn Horng:
Discovering fuzzy personal moving profiles in wireless networks.
Appl. Soft Comput. 9(2): 667-676 (2009) |
2008 |
124 | EE | Chun-Wei Lin,
Tzung-Pei Hong,
Wen-Hsiang Lu,
Hsin-Yi Chen:
An FUSP-Tree Maintenance Algorithm for Record Modification.
ICDM Workshops 2008: 649-653 |
123 | EE | Chun-Wei Lin,
Tzung-Pei Hong,
Wen-Hsiang Lu,
Been-Chian Chien:
Incremental Mining with Prelarge Trees.
IEA/AIE 2008: 169-178 |
122 | EE | Vincent S. Tseng,
Chun-Hao Chen,
Pai-Chieh Huang,
Tzung-Pei Hong:
A cluster-based genetic approach for segmentation of time series and pattern discovery.
IEEE Congress on Evolutionary Computation 2008: 1949-1953 |
121 | EE | Tzung-Pei Hong,
Yan-Liang Liou:
Case-Based Reasoning with feature clustering.
IEEE ICCI 2008: 449-454 |
120 | EE | Jie-Hung Lee,
Chiu-Ching Tuan,
Tzung-Pei Hong:
A maximum channel reuse scheme with Hopfield Neural Network based static cellular radio channel allocation systems.
IJCNN 2008: 3660-3667 |
119 | EE | Chun-Hao Chen,
Tzung-Pei Hong,
Vincent S. Tseng:
A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports.
PAKDD 2008: 864-869 |
118 | EE | Tzung-Pei Hong,
Chun-Hao Chen,
Yu-Lung Wu,
Vincent S. Tseng:
Fining Active Membership Functions in Fuzzy Data Mining.
Data Mining: Foundations and Practice 2008: 179-196 |
117 | EE | Chun-Hao Chen,
Tzung-Pei Hong,
Vincent S. Tseng:
Mining Linguistic Trends from Time Series.
Data Mining: Foundations and Practice 2008: 49-60 |
116 | EE | Tzung-Pei Hong,
Yeong-Chyi Lee:
An Overview of Mining Fuzzy Association Rules.
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 397-410 |
115 | EE | Chan-Sheng Kuo,
Tzung-Pei Hong,
Chuen-Lung Chen:
An Improved Knowledge-Acquisition Strategy Based on Genetic Programming.
Cybernetics and Systems 39(7): 672-685 (2008) |
114 | EE | Yeong-Chyi Lee,
Tzung-Pei Hong,
Tien-Chin Wang:
Multi-level fuzzy mining with multiple minimum supports.
Expert Syst. Appl. 34(1): 459-468 (2008) |
113 | EE | Tzung-Pei Hong,
Chun-E Lin,
Jiann-Horng Lin,
Shyue-Liang Wang:
Learning cross-level certain and possible rules by rough sets.
Expert Syst. Appl. 34(3): 1698-1706 (2008) |
112 | EE | Yu-Hui Tao,
Tzung-Pei Hong,
Yu-Ming Su:
Web usage mining with intentional browsing data.
Expert Syst. Appl. 34(3): 1893-1904 (2008) |
111 | EE | Tzung-Pei Hong,
Chun-Wei Lin,
Yu-Lung Wu:
Incrementally fast updated frequent pattern trees.
Expert Syst. Appl. 34(4): 2424-2435 (2008) |
110 | EE | Wei-Chou Chen,
Shian-Shyong Tseng,
Tzung-Pei Hong:
An efficient bit-based feature selection method.
Expert Syst. Appl. 34(4): 2858-2869 (2008) |
109 | EE | Shyue-Liang Wang,
Rajeev Maskey,
Ayat Jafari,
Tzung-Pei Hong:
Efficient sanitization of informative association rules.
Expert Syst. Appl. 35(1-2): 442-450 (2008) |
108 | EE | Chun-Hao Chen,
Vincent S. Tseng,
Tzung-Pei Hong:
Cluster-Based Evaluation in Fuzzy-Genetic Data Mining.
IEEE T. Fuzzy Systems 16(1): 249-262 (2008) |
107 | EE | Tzung-Pei Hong,
Chun-Hao Chen,
Yeong-Chyi Lee,
Yu-Lung Wu:
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy.
IEEE Trans. Evolutionary Computation 12(2): 252-265 (2008) |
106 | EE | Tzung-Pei Hong,
Cheng-Ming Huang,
Shi-Jinn Horng:
Linguistic object-oriented web-usage mining.
Int. J. Approx. Reasoning 48(1): 47-61 (2008) |
105 | EE | Tzung-Pei Hong,
Min-Thai Wu:
A Hierarchical Gene-Set Genetic Algorithm.
JCP 3(11): 67-75 (2008) |
2007 |
104 | EE | Chun-Wei Lin,
Tzung-Pei Hong,
Wen-Hsiang Lu:
Using the Pre-FUFP Algorithm for Handling New Transactions in Incremental Mining.
CIDM 2007: 598-603 |
103 | EE | Chun-Hao Chen,
Tzung-Pei Hong,
Vincent S. Tseng:
A Comparison of Different Fitness Functions for Extracting Membership Functions Used in Fuzzy Data Mining.
FOCI 2007: 550-555 |
102 | EE | Yeong-Chyi Lee,
Tzung-Pei Hong,
Tien-Chin Wang:
Mining Generalized Association Rules from a Different Perspective.
FSKD (3) 2007: 351-355 |
101 | EE | Chun-Hao Chen,
Tzung-Pei Hong,
Vincent S. Tseng,
Chang-Shing Lee:
A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports.
FUZZ-IEEE 2007: 1-6 |
100 | EE | Tzung-Pei Hong:
On Genetic-Fuzzy Data Mining Techniques.
GrC 2007: 3 |
99 | EE | Chun-Wei Lin,
Tzung-Pei Hong,
Wen-Hsiang Lu,
Chih-Hung Wu:
Maintenance of Fast Updated Frequent Trees for Record Deletion Based on Prelarge Concepts.
IEA/AIE 2007: 675-684 |
98 | EE | Chun-Hao Chen,
Tzung-Pei Hong,
Vincent S. Tseng:
A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy.
IEEE Congress on Evolutionary Computation 2007: 1-6 |
97 | EE | Tzung-Pei Hong,
Wen-Yang Lin,
Shu-Min Liu,
Jiann-Horng Lin:
Experimental analysis of dynamic migration intervals on 0/1 knapsack problems.
IEEE Congress on Evolutionary Computation 2007: 1163-1167 |
96 | EE | Tzung-Pei Hong,
Min-Thai Wu,
Ya-Fang Tung,
Shyue-Liang Wang:
Using escape operations in gene-set genetic algorithms.
SMC 2007: 3907-3911 |
95 | EE | Shyue-Liang Wang,
Dipen Patel,
Ayat Jafari,
Tzung-Pei Hong:
Hiding collaborative recommendation association rules.
Appl. Intell. 27(1): 67-77 (2007) |
94 | EE | Tzung-Pei Hong,
Tzu-Ting Wang,
Shyue-Liang Wang:
Mining fuzzy beta.
Expert Syst. Appl. 32(1): 223-232 (2007) |
93 | EE | Cheng-Ming Huang,
Tzung-Pei Hong,
Shi-Jinn Horng:
Mining knowledge from object-oriented instances.
Expert Syst. Appl. 33(2): 441-450 (2007) |
92 | EE | Shyue-Liang Wang,
Kuan-Wei Huang,
Tien-Chin Wang,
Tzung-Pei Hong:
Maintenance of informative ruler sets for predictions.
Intell. Data Anal. 11(3): 279-292 (2007) |
91 | EE | Ching-Yao Wang,
Shian-Shyong Tseng,
Tzung-Pei Hong,
Yianshu Chu:
Online Generation of Association Rules under Multi-dimensional Consideration Based on Negative-Border.
J. Inf. Sci. Eng. 23(1): 233-242 (2007) |
90 | EE | Wen-Yang Lin,
Tzung-Pei Hong,
Shyi-Ming Chen:
Editorial.
JACIII 11(4): 357-357 (2007) |
89 | EE | Tzung-Pei Hong,
Wen-Yang Lin,
Shu-Min Liu,
Jiann-Horng Lin:
Dynamically Adjusting Migration Rates for Multi-Population Genetic Algorithms.
JACIII 11(4): 410-415 (2007) |
88 | EE | Chan-Sheng Kuo,
Tzung-Pei Hong,
Chuen-Lung Chen:
Applying genetic programming technique in classification trees.
Soft Comput. 11(12): 1165-1172 (2007) |
2006 |
87 | EE | Vincent S. Tseng,
Chun-Hao Chen,
Chien-Hsiang Chen,
Tzung-Pei Hong:
Segmentation of Time Series by the Clustering and Genetic Algorithms.
ICDM Workshops 2006: 443-447 |
86 | EE | Tzung-Pei Hong,
Jun-Wei Lin,
Yu-Lung Wu:
Maintenance of Fast Updated Frequent Pattern Trees for Record Modification.
ICICIC (1) 2006: 570-573 |
85 | EE | Yeong-Chyi Lee,
Tzung-Pei Hong,
Tien-Chin Wang:
Mining Multiple-Level Association Rules Under the Maximum Constraint of Multiple Minimum Supports.
IEA/AIE 2006: 1329-1338 |
84 | EE | Chien-Lung Wang,
Gwoboa Horng,
Yu-Sheng Chen,
Tzung-Pei Hong:
An Efficient Key-Update Scheme for Wireless Sensor Networks.
International Conference on Computational Science (1) 2006: 1026-1029 |
83 | EE | Chien-Lung Wang,
Tzung-Pei Hong,
Gwoboa Horng,
Wen-Hung Wang:
A Key Renewal Scheme under the Power Consumption for Wireless Sensor Networks.
JCIS 2006 |
82 | EE | Tzung-Pei Hong,
Yan-Liang Liou,
Shyue-Liang Wang:
Learning with Hierarchical Quantitative Attributes by Fuzzy Rough Sets.
JCIS 2006 |
81 | EE | Tzung-Pei Hong,
Ming-Wen Tsai,
Tung-Kuan Liu:
Two-dimentional Encoding Schema and Genetic Operators.
JCIS 2006 |
80 | EE | Ching-Yao Wang,
Shian-Shyong Tseng,
Tzung-Pei Hong:
Improved Negative-Border Online Mining Approaches.
PAKDD 2006: 483-492 |
79 | EE | Ching-Yao Wang,
Tzung-Pei Hong,
Shian-Shyong Tseng:
Multidimensional On-line Mining.
Foundations and Novel Approaches in Data Mining 2006: 243-257 |
78 | EE | Ching-Yao Wang,
Shian-Shyong Tseng,
Tzung-Pei Hong:
Flexible online association rule mining based on multidimensional pattern relations.
Inf. Sci. 176(12): 1752-1780 (2006) |
77 | EE | Tzung-Pei Hong,
Kuei-Ying Lin,
Shyue-Liang Wang:
Mining fuzzy sequential patterns from quantitative transactions.
Soft Comput. 10(10): 925-932 (2006) |
76 | EE | Tzung-Pei Hong,
Chun-Hao Chen,
Yu-Lung Wu,
Yeong-Chyi Lee:
A GA-based Fuzzy Mining Approach to Achieve a Trade-off Between Number of Rules and Suitability of Membership Functions.
Soft Comput. 10(11): 1091-1101 (2006) |
2005 |
75 | EE | Chun-Hao Chen,
Tzung-Pei Hong,
Vincent S. Tseng:
Analyzing time-series data by fuzzy data-mining technique.
GrC 2005: 112-117 |
74 | EE | Tzung-Pei Hong,
Cheng-Ming Huang,
Shi-Jinn Horng:
Mining Linguistic Mobility Patterns for Wireless Networks.
KES (3) 2005: 1352-1358 |
73 | EE | Tzung-Pei Hong,
Wen-Chang Chang,
Jiann-Horng Lin:
A Two-Phased Ontology Selection Approach for Semantic Web.
KES (4) 2005: 403-409 |
72 | EE | Shyue-Liang Wang,
Wei-Shuo Lo,
Tzung-Pei Hong:
Discovery of Fuzzy Multiple-Level Web Browsing Patterns.
Classification and Clustering for Knowledge Discovery 2005: 251-266 |
71 | EE | Yeong-Chyi Lee,
Tzung-Pei Hong,
Wen-Yang Lin:
Mining association rules with multiple minimum supports using maximum constraints.
Int. J. Approx. Reasoning 40(1-2): 44-54 (2005) |
2004 |
70 | | Ching-Yao Wang,
Shian-Shyong Tseng,
Tzung-Pei Hong,
Yianshu Chu:
A Three-phased Online Association Rule Mining Approach for Diverse Mining Requests.
ICEB 2004: 1085-1090 |
69 | EE | Tzung-Pei Hong,
Chun-Hao Chen,
Yu-Lung Wu,
Yeong-Chyi Lee:
Using divide-and-conquer GA strategy in fuzzy data mining.
ISCC 2004: 116-121 |
68 | EE | Yeong-Chyi Lee,
Tzung-Pei Hong,
Wen-Yang Lin:
Mining Fuzzy Association Rules with Multiple Minimum Supports Using Maximum Constraints.
KES 2004: 1283-1290 |
67 | EE | Tzung-Pei Hong,
Tzu-Jung Huang,
Chao-Sheng Chang:
Maintenance of multiple-level association rules for record modification.
SMC (4) 2004: 3140-3145 |
66 | EE | Tzung-Pei Hong,
Li-Huei Tseng,
Been-Chian Chien:
Learning coverage rules from incomplete data based on rough sets.
SMC (4) 2004: 3226-3231 |
65 | EE | Shyue-Liang Wang,
Mei-Hwa Wang,
Wen-Yang Lin,
Tzung-Pei Hong:
Adjustable discovery of adaptive-support association rules for collaborative recommendation systems.
SMC (4) 2004: 3250-3254 |
64 | EE | Wen-Yang Lin,
Tzung-Pei Hong,
Shu-Min Liu:
On adapting migration parameters for multi-population genetic algorithms.
SMC (6) 2004: 5731-5735 |
63 | EE | Tzung-Pei Hong,
Chan-Sheng Kuo,
Shyue-Liang Wang:
A fuzzy AprioriTid mining algorithm with reduced computational time.
Appl. Soft Comput. 5(1): 1-10 (2004) |
2003 |
62 | | Tzung-Pei Hong,
Kuei-Ying Lin,
Been-Chian Chien:
Mining Fuzzy Multiple-Level Association Rules from Quantitative Data.
Appl. Intell. 18(1): 79-90 (2003) |
61 | | Ching-Hung Wang,
Chang-Jiun Tsai,
Tzung-Pei Hong,
Shian-Shyong Tseng:
Fuzzy Inductive Learning Strategies.
Appl. Intell. 18(2): 179-193 (2003) |
60 | EE | Tzung-Pei Hong,
Kuei-Ying Lin,
Shyue-Liang Wang:
Fuzzy data mining for interesting generalized association rules.
Fuzzy Sets and Systems 138(2): 255-269 (2003) |
59 | EE | Wen-Yang Lin,
Wen-Yung Lee,
Tzung-Pei Hong:
Adapting Crossover and Mutation Rates in Genetic Algorithms.
J. Inf. Sci. Eng. 19(5): 889-903 (2003) |
2002 |
58 | | Shyue-Liang Wang,
Wei-Shuo Lo,
Tzung-Pei Hong:
Discovery of Fuzzy Multiple-Level Web Browsing Patterns.
FSKD 2002: 636-640 |
57 | EE | Ching-Yao Wang,
Tzung-Pei Hong,
Shian-Shyong Tseng:
Maintenance of Sequential Patterns for Record Modification Using Pre-large Sequences.
ICDM 2002: 693-696 |
56 | EE | Jung-Yi Lin,
Been-Chian Chien,
Tzung-Pei Hong:
A Function-Based Classifier Learning Scheme Using Genetic Programming.
PAKDD 2002: 92-103 |
55 | | Tzung-Pei Hong,
Hong-Shung Wang,
Wen-Yang Lin,
Wen-Yuan Lee:
Evolution of Appropriate Crossover and Mutation Operators in a Genetic Process.
Appl. Intell. 16(1): 7-17 (2002) |
54 | EE | Tzung-Pei Hong,
Li-Huei Tseng,
Shyue-Liang Wang:
Learning rules from incomplete training examples by rough sets.
Expert Syst. Appl. 22(4): 285-293 (2002) |
53 | EE | Been-Chian Chien,
Jung-Yi Lin,
Tzung-Pei Hong:
Learning discriminant functions with fuzzy attributes for classification using genetic programming.
Expert Syst. Appl. 23(1): 31-37 (2002) |
52 | EE | Wei-Chou Chen,
Shian-Shyong Tseng,
Lu-Ping Chang,
Tzung-Pei Hong,
Mon-Fong Jiang:
A parallelized indexing method for large-scale case-based reasoning.
Expert Syst. Appl. 23(2): 95-102 (2002) |
51 | EE | Ching-Yao Wang,
Tzung-Pei Hong,
Shian-Shyong Tseng:
Maintenance of discovered sequential patterns for record deletion.
Intell. Data Anal. 6(5): 399-410 (2002) |
50 | EE | Tzung-Pei Hong,
Ke-Yuan Huang,
Wen-Yang Lin:
Applying genetic algorithms to game search trees.
Soft Comput. 6(3-4): 277-283 (2002) |
49 | EE | Tzung-Pei Hong,
Kuei-Ying Lin,
Shyue-Liang Wang:
Mining linguistic browsing patterns in the world wide web.
Soft Comput. 6(5): 329-336 (2002) |
2001 |
48 | | Tzung-Pei Hong,
Tzu-Ting Wang,
Been-Chian Chien:
Learning Approximate Fuzzy Rules From Training Examples.
FUZZ-IEEE 2001: 256-259 |
47 | | Tzung-Pei Hong,
Chan-Sheng Kuo,
Shyue-Liang Wang:
A Fuzzy AprioriTid Algorithm With Reduced Computational Time.
FUZZ-IEEE 2001: 360-363 |
46 | EE | Tzung-Pei Hong,
Yeong-Chyi Lee:
Mining Coverage-Based Fuzzy Rules by Evolutional Computation.
ICDM 2001: 218-224 |
45 | EE | Ching-Yao Wang,
Tzung-Pei Hong,
Shian-Shyong Tseng:
Maintenance of Sequential Patterns for Record Deletion.
ICDM 2001: 536-541 |
44 | | Tzung-Pei Hong,
Ke-Yuan Huang,
Wen-Yang Lin:
Adversarial Search by Evolutionary Computation.
Evolutionary Computation 9(3): 371-385 (2001) |
43 | EE | Tzung-Pei Hong,
Ching-Yao Wang,
Yu-Hui Tao:
A new incremental data mining algorithm using pre-large itemsets.
Intell. Data Anal. 5(2): 111-129 (2001) |
42 | EE | Shyue-Liang Wang,
Jenn-Shing Tsai,
Tzung-Pei Hong:
Discovering functional dependencies from similarity-based fuzzy relational databases.
Intell. Data Anal. 5(2): 131-149 (2001) |
41 | | Tzung-Pei Hong,
Chan-Sheng Kuo,
Sheng-Chai Chi:
Trade-off Between Computation Time and Number of Rules for Fuzzy Mining from Quantitative Data.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(5): 587-604 (2001) |
40 | EE | Ching-Hung Wang,
Tzung-Pei Hong,
Shian-Shyong Tseng:
A Genetics-Based Approach to Knowledge Integration and Refinement.
J. Inf. Sci. Eng. 17(1): 85-94 (2001) |
39 | EE | Shyue-Liang Wang,
Tzung-Pei Hong,
Wen-Yang Lin:
Answering Null Queries by Analogical Reasoning on Similarity-based Fuzzy Relational Databases.
JACIII 5(3): 163-171 (2001) |
38 | EE | Tzung-Pei Hong,
Tzu-Ting Wang,
Shyue-Liang Wang:
A Fuzzy CDS-based Scheduling Algorithm for More Than Two Machine Centers.
JACIII 5(4): 239-245 (2001) |
37 | EE | Tzung-Pei Hong,
Tzu-Ting Wang,
Shyue-Liang Wang:
A palmer-based continuous fuzzy flexible flow-shop scheduling algorithm.
Soft Comput. 5(6): 426-433 (2001) |
2000 |
36 | EE | Tzung-Pei Hong,
Ching-Yao Wang,
Yu-Hui Tao:
Incremental data mining based on two support thresholds.
KES 2000: 436-439 |
35 | | Shyue-Liang Wang,
Jenn-Shing Tsai,
Tzung-Pei Hong:
Mining Functional Dependencies from Fuzzy Relational Databases.
SAC (1) 2000: 490-493 |
34 | | Tzung-Pei Hong,
Chan-Sheng Kuo,
Sheng-Chai Chi,
Shyue-Liang Wang:
Mining Fuzzy Rules from Quantitative Data Based on the AprioriTid Algorithm.
SAC (1) 2000: 534-536 |
33 | | Tzung-Pei Hong,
Tzu-Ting Wang:
Fuzzy flexible flow shops at two machine centers for continuous fuzzy domains.
Inf. Sci. 129(1-4): 227-237 (2000) |
32 | EE | Tzung-Pei Hong,
Shyue-Liang Wang:
Determining appropriate membership functions to simplify fuzzy induction.
Intell. Data Anal. 4(1): 51-66 (2000) |
31 | EE | Tzung-Pei Hong,
Tzu-Ting Wang,
Shyue-Liang Wang:
Knowledge acquisition from quantitative data using the rough-set theory.
Intell. Data Anal. 4(3-4): 289-304 (2000) |
30 | EE | Shyue-Liang Wang,
Tzung-Pei Hong:
Incomplete Input Inference on Fuzzy Production Systems Supported by Petri Nets.
International Journal on Artificial Intelligence Tools 9(4): 537-549 (2000) |
29 | | Tzung-Pei Hong,
Hong-Shung Wang,
Wei-Chou Chen:
Simultaneously Applying Multiple Mutation Operators in Genetic Algorithms.
J. Heuristics 6(4): 439-455 (2000) |
1999 |
28 | | Tzung-Pei Hong,
Tzu-Ting Wang:
A New Fuzzy Flexible Flow-Shop Algorithm for Continous Fuzzy Domain.
IEA/AIE 1999: 74-79 |
27 | EE | Tzung-Pei Hong,
Chan-Sheng Kuo,
Sheng-Chai Chi:
A fuzzy data mining algorithm for quantitative values.
KES 1999: 480-483 |
26 | EE | Wei-Chou Chen,
Tzung-Pei Hong,
Wen-Yang Lin:
A Composite Data Model in Object-Oriented Data Warehousing.
TOOLS (31) 1999: 400-405 |
25 | EE | Tzung-Pei Hong,
Shian-Shyong Tseng:
Splitting and Merging Version Spaces to Learn Disjunctive Concepts.
IEEE Trans. Knowl. Data Eng. 11(5): 813-815 (1999) |
24 | EE | Tzung-Pei Hong,
Chai-Ying Lee:
Effect of merging order on performance of fuzzy induction.
Intell. Data Anal. 3(2): 139-151 (1999) |
23 | EE | Tzung-Pei Hong,
Chan-Sheng Kuo,
Sheng-Chai Chi:
Mining association rules from quantitative data.
Intell. Data Anal. 3(5): 363-376 (1999) |
22 | EE | Tzung-Pei Hong,
Jyh-Jong Lee:
Parallel Neural Learning for Control Problems on a Bus-Based Architecture.
International Journal of High Speed Computing 10(3): 257-273 (1999) |
21 | EE | Tzung-Pei Hong,
Tzung-Nan Chuang:
Fuzzy palmer Scheduling for Flow Shops with More than Two Machines.
J. Inf. Sci. Eng. 15(3): 397-406 (1999) |
1998 |
20 | EE | Tzung-Pei Hong,
Chai-Ying Lee:
Learning Fuzzy Knowledge from Training Examples.
CIKM 1998: 161-166 |
19 | EE | Tzung-Pei Hong,
Jyh-Jong Lee:
Parallel Neural Learning by Iteratively Adjusting Error Thresholds.
ICPADS 1998: 107- |
18 | | Ching-Hung Wang,
Tzung-Pei Hong,
Shian-Shyong Tseng:
Integrating fuzzy knowledge by genetic algorithms.
IEEE Trans. Evolutionary Computation 2(4): 138-149 (1998) |
17 | EE | Ching-Hung Wang,
Tzung-Pei Hong,
Shian-Shyong Tseng:
A New Hybrid Learning Algorithm for Non-Linear Boundaries.
J. Inf. Sci. Eng. 14(2): 305-325 (1998) |
16 | EE | Tzung-Pei Hong,
Shian-Shyong Tseng:
Primal-Dual Version Spaces for Acquisition of Disjunctive Concepts.
J. Inf. Sci. Eng. 14(2): 327-345 (1998) |
15 | EE | Tzung-Pei Hong,
Hong-Shung Wang:
Automatically Adjusting Crossover Ratios of Multiple Crossover Operators.
J. Inf. Sci. Eng. 14(2): 369-390 (1998) |
14 | EE | Tzung-Pei Hong,
Wei-Chou Chen:
Fuzzy Flexible-Flow Shops at Two Machine Centers.
JACIII 2(4): 142-149 (1998) |
13 | EE | Tzung-Pei Hong,
Tzung-Nan Chuang:
Fuzzy scheduling on two-machine flow shop.
Journal of Intelligent and Fuzzy Systems 6(4): 471-481 (1998) |
12 | EE | Tzung-Pei Hong,
Tzung-Nan Chuang:
Fuzzy CDS scheduling for flow shops with more than two machines.
Journal of Intelligent and Fuzzy Systems 6(4): 483-494 (1998) |
11 | | Tzung-Pei Hong,
Jyh-Jong Lee:
A Nearly Optimal Back-Propagation Learning Algorithm on a Bus-Based Architecture.
Parallel Processing Letters 8(3): 297-306 (1998) |
1997 |
10 | EE | Tzung-Pei Hong,
Shian-Shyong Tseng:
A Generalized Version Space Learning Algorithm for Noisy and Uncertain Data.
IEEE Trans. Knowl. Data Eng. 9(2): 336-340 (1997) |
9 | | Rong-Huei Hou,
Tzung-Pei Hong,
Shian-Shyong Tseng,
Sy-Yen Kuo:
A New Probabilistic Induction Method.
J. Autom. Reasoning 18(1): 5-24 (1997) |
1995 |
8 | EE | Ching-Hung Wang,
Shian-Shyong Tseng,
Tzung-Pei Hong:
Design of a Self-Adaptive Brain Tumor Diagnostic System.
J. Inf. Sci. Eng. 11(2): 275-294 (1995) |
1994 |
7 | EE | Tzung-Pei Hong,
Shian-Shyong Tseng:
Learning Concepts in Parallel Based upon the Strategy of Version Space.
IEEE Trans. Knowl. Data Eng. 6(6): 857-867 (1994) |
6 | | Tzung-Pei Hong,
Shian-Shyong Tseng:
An Optimal Parallel Perceptron Learning Algorithm for a LargeTraining Set.
Parallel Computing 20(3): 347-352 (1994) |
1992 |
5 | | Tzung-Pei Hong,
Shian-Shyong Tseng:
Comparison of ID3 and Its Generalized Version.
ICCI 1992: 241-244 |
4 | | Tzung-Pei Hong,
Shian-Shyong Tseng:
A probabilistic perceptron learning algorithm.
J. Exp. Theor. Artif. Intell. 4(4): 265-279 (1992) |
3 | | Tzung-Pei Hong,
Shian-Shyong Tseng:
Parallel perceptron learning on a single-channel broadcast communication model.
Parallel Computing 18(2): 133-148 (1992) |
1991 |
2 | EE | Tzung-Pei Hong,
Shian-Shyong Tseng:
Models of parallel learning systems.
ICDCS 1991: 125-132 |
1 | | Tzung-Pei Hong,
Shian-Shyong Tseng:
A Parallel Perceptron Learning Algorithm.
ICPP (3) 1991: 288-289 |