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ABSTRACT
The most dangerous and destructive natural disasters are floods. The floods will cause damage to not only the surroundings, they will affect human daily life too. The flood prediction models will reduce the risk management, loss of human life and these predictive models will help to reduce the financial property damages caused by floods. To reduce the manual mathematical calculations which are followed throughout the past few years by hydrologists and meteorological departments by introducing and using these neural network methods the decisions and prediction on floods would be precisely known and the cost and time would be saved. By using the
neural network techniques which are used to work on the rainfall data set and meteorological data hub this problem can be prevented. For the purpose of data cleaning, identifying the outliers, unwanted data and for clearing the noisy data the data analysis has to be done by a Multilayer perception Classifier (MLP). This has to be done for all the dataset collected. The performance has to know if the flood can happen or not by evaluating and identifying the confusion matrix and the result will be displayed or shown in a flask-based application.
KEY WORDS: Multilayer Perception Classifier (MLP), Artificial Neural Network (ANN), Support Vector Machine (SVM), Terrain Analysis Using Digital Elevation Models (TAUDEMS), Support Vector Classifier (SVC).
ARTIFICIAL INTELLIGENCE
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by humans or animals. Leading AI textbooks define the field as the study of “intelligent agents” — any system that perceives its environment and takes actions that maximize its chance of achieving its goals. Some popular accounts use the term “artificial intelligence” to describe machines that mimic “cognitive” functions that
humans associate with the human mind, such as “learning” and “problem solving”, however this definition is rejected by major AI researchers.
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
