Neural Network Radial Basis Function classifier for earthquake data using aFOA

Rana, Anurag; Kumar, Arjun; Sharma, Ankur

doi:10.21474/ijar01/1244

Cited by 6 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mechanical instrument music theory, like wise chatbot machinery is tuned in language. Chatbot machinery patterns in collections of s reduced to a this machine words haven't his or her checkered [38] In this project under firstly improve performance and accuracy through neural Network. Neural take a different Approach to problem solving then that of conversational Agent.…”

Section: Neural Networkmentioning

confidence: 99%

Namah Subjective and Objective Aspects of Conversational Agent

Sharma¹,

Sharma²,

Rana³

2018

IJTSRD

View full text Add to dashboard Cite

Namah subjective and objective aspects of conversational agents focuses on the design and evaluation of Chatbot, a conversational agent for Natural Language Processing in An Android Application featuring a high number of different, unique characteristics: context dependent information, an support for different kind of dialogue chat, specific and general question answering, task oriented dialogues. The agent has currently implementations: as mobile phone application. ChatBot is an application that helps users and agents communicate easily with each other. It helps in maintaining a direct connection between users and agents. However, before this application, users get so many problems in getting their answers from the agent. The market is a communicative agent. There is no proper work done either. The user has to give name and email address so that they can get the answer to their question and then the user gets the answer of their query after 24 hour via mail. And the information users want are either given from Google or given a link to it. so this conversationa easy to use. The query that the user put it will be given the correct answer to the same time or at a time. No matter how many people are logged into the questions, they will automatically get all the answers at the same time. We have set up a data set. Currently built for a one domain, we can work on this Multiplayer domain. The paper describes the modules and resources required for running the agent on both interfaces, as well as the evaluation results obtained from two assessment studies conc interaction design of these two agent interfaces. The feedback gathered from the studies will enable us to improve the applications in terms of service, performance and usability. @ IJTSRD | Available Online @ www.ijtsrd.com | Volume -2 | Issue -5 |

show abstract

Section: Neural Networkmentioning

confidence: 99%

Namah Subjective and Objective Aspects of Conversational Agent

Sharma¹,

Sharma²,

Rana³

2018

IJTSRD

View full text Add to dashboard Cite

show abstract

“…Artificial neural networks incorporating swarm algorithms, such as the fruit fly optimization algorithm (FOA), have proven to an effective method for determining the best classifier. For earthquake data, NN RBF is employed as a classifier [11]. The classification challenges are solved with ANN, support vector machines (SVM), and classification trees (CT) [12].…”

Section: Introductionmentioning

confidence: 99%

Techniques Based on Metaheuristics Combined with an Adaptive Neurofuzzy System and Seismic Sensors for the Prediction of Earthquakes

et al. 2023

Self Cite

View full text Add to dashboard Cite

This research looked into the viability of using metaheuristic algorithms in conjunction with an adaptive neurofuzzy system to predict seismicity and earthquakes. Different metaheuristic algorithms have been combined with an artificial intelligence (AI) algorithm. Subjected to seismicity is a promising factor. The new sensors have many advantages over the older, more impressive-looking ones, including (a) a generally linear relationship between the measured values and real ground motion (described above), (b) the ability to measure three orthogonal components of ground movement in a single unit, (c) sensitivity to a very broad range of frequencies, and (d) high dynamic range, which allows for the detection of both very small and fairly large tremors. To accept the acquired results as a hybrid model of an adaptive neurofuzzy inference system with particle swarm optimization (PSO), genetic algorithm (GA), and extreme machine learning (ELM) (ANFIS-PSO-GA-ELM) implemented. According to the dataset, all approaches produce excellent and realistic predictions of seismic loads; however, the method ANFIS-PSO produces better results. All the strategies demonstrated a high level of predictability. Finally, this research urges researchers to investigate the performance of triple hybrid MT algorithms using a variety of hybrid metaheuristic methodologies, rather than the existing double hybrid MT algorithms.

show abstract

High-quality seismological recorded dataset analysis for the estimation of peak ground acceleration in Himalayas

Rana,

Vaidya,

2024

Multimed Tools Appl

View full text Add to dashboard Cite

Neural Network Radial Basis Function classifier for earthquake data using aFOA

Cited by 6 publications

References 4 publications

Namah Subjective and Objective Aspects of Conversational Agent

Namah Subjective and Objective Aspects of Conversational Agent

Techniques Based on Metaheuristics Combined with an Adaptive Neurofuzzy System and Seismic Sensors for the Prediction of Earthquakes

High-quality seismological recorded dataset analysis for the estimation of peak ground acceleration in Himalayas

Contact Info

Product

Resources

About