Bergadano et al., 1990 - Google Patents
Integrated learning in a real domainBergadano et al., 1990
- Document ID
- 11706909460075454851
- Author
- Bergadano F
- Giordana A
- Saitta L
- De Marchi D
- Brancadori F
- Publication year
- Publication venue
- Machine Learning Proceedings 1990
External Links
Snippet
This paper describes the results obtained in applying the learning system ENIGMA to a fault diagnosis problem of electromechanical devices at ENICHEM (Ravenna, Italy). The system ENIGMA is capable of learning structured knowledge from examples and a domain theory …
- 230000001939 inductive effect 0 abstract description 14
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S706/00—Data processing: artificial intelligence
- Y10S706/902—Application using ai with detail of the ai system
- Y10S706/911—Nonmedical diagnostics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Boose | Personal Construct Theory and the Transfer of Human Expertise. | |
| Prieto-Diaz | Domain analysis: An introduction | |
| Cacciabue et al. | COSIMO: a cognitive simulation model of human decision making and behavior in accident management of complex plants | |
| Watson | An introduction to case-based reasoning | |
| Ruan et al. | Restart policies with dependence among runs: A dynamic programming approach | |
| McDermott | Making expert systems explicit | |
| Bergadano et al. | Integrated learning in a real domain | |
| Giordana et al. | ENIGMA: A system that learns diagnostic knowledge | |
| De Almeida et al. | An investigation on the use of machine learned models for estimating software correctability | |
| Garg et al. | Process programming by hindsight | |
| Bernard et al. | Tool support for refactoring manual tests | |
| Jeusfeld | Update control in deductive object bases | |
| Bichindaritz | From cases to classes: Focusing on abstraction in case-based reasoning | |
| Bologna et al. | Dependable knowledge-based systems development and verification: What we can learn from software engineering and what we need | |
| Avgerou | The applicability of software engineering in information systems development | |
| Jantke et al. | Variants of plan generation for complex dynamic systems | |
| Voss et al. | Reuse-oriented knowledge engineering with MoMo | |
| Dos Santos et al. | Minimizing information acquisition costs | |
| Gibson et al. | Domain knowledge reuse during requirements engineering | |
| Butrin | Methods and tools for designing and analyzing the quality of knowledge bases of next-generation intelligent computer systems | |
| Islam et al. | A Generalized Apprenticeship Learning Framework for Capturing Evolving Student Pedagogical Strategies | |
| Brown et al. | Intelligent Agents an Approach to Supporting Multiple Model Based Training Systems | |
| Sutherland | Attacking indeterminacy: The case for the hypothetico-deductive method and consensus statistics | |
| Cho | Productivity Analysis in Construction using an Expert System Approach | |
| Nagasaka et al. | Management system of knowledge base in intelligent machining |