An Intelligent Groundwater Management Recommender System
نویسندگان
چکیده
Objectives: To explore the area of groundwater that can assist to improve accessibility freshwater. Methods : We propose a machine-deep learning model based on recommender system manage and classify groundwater. Finding: The main goal our proposed approach is into multi-labels, which are drinking water (Excellent or Good) Irrigation (Poor Very Poor) with guarantee higher accuracy score. applied testing dataset deep technique was 91% machine leaning 84%. Keywords: Groundwater Management; Intelligent System; Recommender Systems; Datamining; Machine Learning; Deep Learning
منابع مشابه
Software architecture of an intelligent recommender system
In evolving applications, there is a need for the dynamic selection of algorithms or algorithm parameters. Such selection is hardly ever governed by exact theory, so intelligent recommender systems have been proposed. In this paper we give a formal description of a recommender system for the runtime selection of algorithms. We give a functional description of the system, both in an abstract mat...
متن کاملIntelligent pollution management in an integrated energy system
Energy carriers are addressed today as one of the main pillars of energy generation due to the increased growth of industries in developed and developing countries. According to the global view, increased consumption of energy carriers is causing an increase in the production of greenhouse gases, the global average temperature, and this, in turn, results in the quicker melting of ice in Antarct...
متن کاملAn Intelligent E-commerce Recommender System Based on Web Mining
The prosperity of e-commerce has changed the whole outlook of traditional trading behavior. More and more people are willing to conduct Internet shopping. However, the massive product information provided by the Internet Merchants causes the problem of information overload and this will reduces the customer’s satisfaction and interests. To overcome this problem, a recommender system based on we...
متن کاملAn Intelligent Recommender System for Web Resource Discovery and Selection
The Web is now evolving from information sharing to resource provisioning as the emerging Web services and Grid technologies are widely accepted and practiced. Soon the Web will be populated with abundant resources that can be accessed, shared and reused, which will inevitably lead to resource overflow. This chapter introduces a semantic-enabled, knowledge-based intelligent recommender system f...
متن کاملAn Intelligent Multi-Agent Recommender System using Rough Mereology
This article presents a Multi-Agent approach for handling the problem of recommendation. The proposed system works via two main agents; namely, the matching agent and the recommendation agent. Experimental results showed that the proposed rough mereology based Multi-agent system for solving the recommendation problem is scalable and has possibilities for future modification and adaptability to ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indian journal of science and technology
سال: 2021
ISSN: ['0974-5645', '0974-6846']
DOI: https://doi.org/10.17485/ijst/v14i37.1332