Agricultural sector area plays major role in Indian economy. This paper shows research comparison in between MLP Feed Forward Neural Network, Generalized Regression Neural Network and Radial-Basis Function Neural Network in the field of Wheat yield prediction using Z-score Normalization method. The outcome represents that GRNN present better prediction results as compared to FFNN and RBNN. Eigh...

This paper presents the application of neural networks in software quality estimation using objectoriented metrics. In this paper, two kinds of investigation are performed. The first on predicting the number of defects in a class and the second on predicting the number of lines changed per class. Two neural network models are used, they are Ward neural network and General Regression neural netw...

We propose a new passive system for indoor localization of mobile nodes. After the setup, our system only relies on arbitrary wireless communication from the nodes, whereby neither the mobile nodes nor the communication needs to be under our control. The presented system is composed of three Artificial Neural Networks (ANN) using a radiomap approach and the Received Signal Strength (RSS) for lo...

Light-emitting Diode (LED) lamps have been widely used due to versatility and energy efficiency. However, LEDs are nonlinear loads, the massive usage will inject harmonics into lighting system, which has influenced power quality. Total Harmonic Distortion (THD) is an important parameter evaluate quality, but prediction of THD for a challenging task. This paper addresses this issue by designing ...

سیستم حمل‌ونقل ریلی از تعامل مجموعه‌ای تجهیزات و عملیات تشکیل‌ شده است که توانایی ظرفیت یک در بار مسافر را تعیین می‌کند. بدین‌منظور، محاسبة پیش‌بینی نحوة تغییرات آن مهم شناخت آن‌ کمک شایانی به ارتقای سطح بهره‌برداری شبکة روش‌های گوناگونی برای وجود دارد با توجه نوع شبکه شیوة استفاده این روش‌ها، می‌توان آنها بهره گرفت. ظرفیت، توانمندی‌های سیستم‌های اطلاعات مکانی می‌شود تحت وب، وضعیت ظرفیتی عملیات...

The ratio between nitrogen and phosphorus (N/P) in plant leaves has been widely used to assess the availability of nutrients. However, it is challenging rapidly accurately estimate leaf N/P ratio, especially for mixed forest. In this study, we collected 301 samples from nine typical karst areas Guangxi Province during growing season 2018 2020. We then utilized five models (partial least squares...

Nowadays, observing, recording, and modeling the dynamics of atmospheric pollutants represent actual study areas given effects pollution on population ecosystems. The existence aberrant values may influence reports air quality when they are based average over a period. This also models, which further used in forecasting. Therefore, correct data collection analysis is necessary before modeling. ...

This paper presents an investigation into the challenges in implementing a hard real-time optimal nonstationary system using General Regression Neural Network (GRNN). This includes investigation into the dynamics of the problem domain, discretisation of the problem domain to reduce the computational complexity, parameters selection of the optimization algorithm, convergence guarantee for real-t...

This paper is concerned with monitoring the hourly event-based river suspended sediment concentration (SSC) due to storms in Jiasian diversion weir in southern Taiwan. The weir is built for supplying 0.3 million tons of water per day averagely for civil and industrial use. Information of suspended sediments fluxes of rivers is crucial for monitoring the quality of water. The issue of water qual...