In theory, a neural network can be trained to act as an artificial specification for a program by showing it samples of the programs executions. In practice, the training turns out to be very hard. Programs often operate on discrete domains for which patterns are difficult to discern. Earlier experiments reported too much false positives. This paper revisits an experiment by Vanmali et al. by investigating several aspects that were uninvestigated in the original work: the impact of using different learning modes, aggressiveness levels, and abstraction functions. The results are quite promising.
Web crawlers are techniques for gathering information on a website. Web crawlers work by visiting each specified website address then getting and storing all information contained in the website. The Web Crawler technique is commonly used to collect data or information through the internet.The benefit of web crawlers is that the information obtained is more focused so that it makes it easier to do something search. The way the web crawler works is to start the process by providing a list of website addresses to be visited, and every time you visit the address, the crawler will look for another address contained in it and add to the list of previous website addresses.This study provides a proposal about the use of web crawlers in gathering scientific journal information and then the information obtained is reprocessed on a system. Data obtained from the crawler process will be stored in the database and will be processed by the scientific journal management system according to the needs and objectives.
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