Design of P-FLANN Model for Intelligent Water Fountain Sound Pleasantness Monitoring Using Bio-inspired Computing and Human Speech Perception  

作　　者：Barnali Brahma Tusar Kanti Dash Ganapati Panda L V Narasimha Prasad Rajesh Kulkarni 

机构地区：[1]C V Raman Global University,Bhubaneswar,India [2]Institute of Aeronautical Engineering,Hyderabad,India [3]MVSR Engineering College Nadargul,Hyderabad,India

出　　处：《Journal of Artificial Intelligence and Technology》2023年第4期187-194,共8页人工智能技术学报（英文）

摘　　要：Cognitive-inspired computational systems play a crucial role in designing intelligent health monitoring systems which help both patients and hospitals.It also helps in early and consistent decision-making for various health issues including human psychological health.Water fountains built in parks and public spaces are used as decorative instruments which not only give appealing visuals but also provide a relaxing environment to the visitors.These natural sounds have a direct effect on the psychological health of visitors.Very few research works are reported on developing the relationship between water sounds and their corresponding psychological impact.This assessment needs trained manpower and a lot of experimental time which is costly and may not be always available.In this paper,to access the from the pleasantness from human health-friendly water fountain sounds,a perceptually weighted functional link artificial neural network(P-FLANN)model is developed.To reduce the computational complexity of training and for faster convergence,swam intelligence-based optimization algorithm is used for updating the weights.It is observed from the comparative simulation results that the proposed P-FLANN model can effectively perform prediction tasks which is not only cost-effective but also 95%accurate and can play a crucial role in designing human health-friendly water fountains in smart cities.

关 键 词：AI-ML automated speech recognition bio-inspired computing FLANN P-FLANN water sound 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]