Volcano monitoring and eruption prediction

• Main Authors: Gomez, Emmanuelito M., Rosales, Odessa P., Tiangco, Melchor G.
• Format: text
• Language: English
• Published: Animo Repository 1992
• Subjects: Volcanic activity prediction; Volcanoes; Data structures (Computer science); Computer systems
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/8643
• Institution: De La Salle University

The scarcity of the volcanologists in our country is one of the reasons that brought about the study. Volcano Monitoring and Eruption Prediction (VMEP) attempts to help ease the difficulty in finding experts on volcanology. Although, VMEP is not intended to replace an expert. It serves as an intelligent assistant to an expert.This study is about the development of a predicting expert system. The system makes a prediction based on the data inputted by the user. VMEP monitors the activity of a volcano. It also has the ability to predict an eruption. The knowledge base of the system can be updated and/or modified by the user. For this matter, VMEP is flexible for it can house new methods for eruption prediction. VMEP also provides a tutorial facility which gives definition to the most commonly used terms in volcanology. The system also provides readily available information about the active volcanoes of the Philippines. It also has a help facility to guide the user accordingly. It also provides an explanation facility which gives the reason how the conclusion was reached. Backward chaining was used as an inference mechanism. Turbo Prolog is the best suited programming language for this type of inferencing. The data structure of the system is rule-based.