Analysis of the condition of forest interior and edge in Mount Papandayan, West Java, Indonesia based on floristic composition and structural characteristics of tree community

Sulistyawati, Endah; Tihurua, Eka Fatmawati

doi:10.13057/biodiv/d200339

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…Widely used are artificial neural network, simulated annealing method, genetic algorithm, particle swarm algorithm, expert system, and so on. In the reconstruction of distribution network, the application of ANN has certain advantages [14]. On the one hand, the algorithm has a strong ability to map nonlinear relationships.…”

Section: Comparison Of Various Algorithms Of Artificialmentioning

confidence: 99%

Based on Artificial Intelligence in the Judicial Field Operation Status and Countermeasure Analysis

Zhu

Zheng

2021

Mathematical Problems in Engineering

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Artificial intelligence is a recently emerging system that uses computers and big data as the basis to simulate human-like behavior with machines. Artificial intelligence is a way to imitate human thinking by learning massive data knowledge and using algorithms to reason and analyze the data. In the current age of advanced technology, many jobs in the justice system can be replaced by artificial technology technologies. Many courts have now scrutinized the use of artificial intelligence in the judiciary. With artificial intelligence, timely warnings on all aspects of admissions can effectively protect random or outdated trials and allocate social resources appropriately. In addition, it may better redress cases of misconduct and irregular conduct in the judiciary, which is conducive to justice. Based on BP neural network, research on related content and other methods has drawn relevant arguments, which will provide a certain theoretical basis for artificial intelligence to assist the judicial field in the future. The research in this article shows that artificial intelligence is conducive to suppressing duty crimes in the judicial field, promoting the transformation of extensive processing to intensive processing, and is conducive to judicial efficiency. In 2017, there were more than 8 million first-instance civil cases, but only 100,000 cases were closed. But by 2020, with the construction of smart courts, millions of cases out of more than 10 million first-instance civil cases are expected to be closed. The situation has been greatly improved. But at the same time, we also need to prevent the leakage of artificial intelligence to personal privacy, establish and improve corresponding laws and regulations, and coordinate the judgment relationship between the human brain and the machine brain. Artificial intelligence may be more suitable for assisting judicial judgments.

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Section: Comparison Of Various Algorithms Of Artificialmentioning

confidence: 99%