The Knowledge-Based Technology Applications Center (KBTAC) seminar series. Volume 4, Introduction to neural networks and fuzzy logic: Final report

Technical Report · Wed Dec 01 04:00:00 EST 1993

OSTI ID:10130980

Isik, C; Wood, R M ^[1]

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1. Syracuse Univ., NY (United States). Knowledge-Based Technology Applications Center

Neural Networks are adaptive systems that allow users to model complex systems, classify patterns, filter data or control processes with little or no a-priori knowledge. Neural networks represent a branch of artificial intelligence technology. Fuzzy logic is a generalization of formalized mathematical logic that allows representation of uncertainty by providing a smooth transition from true to false, instead of a step change. It allows for a proposition to be both true and false, to different degrees at the same time. This allows representation of approximate reasoning concepts that occur frequently in everyday experience, such as ``somewhat true,`` or ``not very hot.`` To utilize these technologies, utility personnel need to acquire knowledge and skills in a number of areas: 1. basic principles of neural networks and fuzzy logic; 2. types of neural networks and fuzzy logic systems, their applications, and requirements for use; 3. considerations for designing neural networks and fuzzy logic systems; 4. software tools available for these technologies. Off-the-shelf software is available for a variety of hardware platforms to rapidly develop, tune and test neural networks and fuzzy logic systems. Familiarity with the problem to which a neural network or fuzzy logic system is applied allows the designer to develop an appropriate design. Therefore, it is desirable to teach neural network and fuzzy logic technology to utility experts in the domain of application.

• Research Organization: Electric Power Research Inst., Palo Alto, CA (United States); Syracuse Univ., NY (United States). Knowledge-Based Technology Applications Center
• Sponsoring Organization: Electric Power Research Inst., Palo Alto, CA (United States)
• OSTI ID: 10130980
• Report Number(s): EPRI-TR--101740-V4; ON: UN94007715
• Country of Publication: United States
• Language: English

Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
220400
99 GENERAL AND MISCELLANEOUS
990200
ARTIFICIAL INTELLIGENCE
CONTROL SYSTEMS
EXPERT SYSTEMS
FUZZY LOGIC
KNOWLEDGE BASE
MAN-MACHINE SYSTEMS
MATHEMATICS AND COMPUTERS
NEURAL NETWORKS
POWER SYSTEMS
REACTOR CONTROL SYSTEMS
TECHNOLOGY TRANSFER