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What is Recurrent Neural Networks (RNN)

Chapter 1
Trends, Applications, and Challenges of Chatbot Technology
Artificial neural networks that use deep learning for sequential data or time-series data are known as recurrent neural networks. They make use of memory to store past data or context to improve future results.
Published in Chapter:
Recent Developments in Chatbot Usability and Design Methodologies
Mohammad Amin Kuhail (Zayed University, UAE), Shahbano Farooq (Zayed University, UAE), and Shurooq Almutairi (Princess Nourah bint Abdulrahman University, Saudi Arabia)
Copyright: © 2023 |Pages: 23
DOI: 10.4018/978-1-6684-6234-8.ch001
Abstract
Chatbots are rapidly growing and becoming prevalent in many applications, including healthcare, education, and consumer services. As such, it is crucial to design chatbots with usability in mind. Traditional usability heuristics call for error prevention, consistency, and task efficiency. The heuristics are suited for all types of user interfaces, including chatbots. However, chatbots have their unique challenges, and thus, recently, some researchers have developed sets of usability guidelines specifically for chatbots. However, there is a shortage of studies that summarize the latest advances in chatbot usability design and assessment. As such, this chapter covers the existing general and chatbot-specific usability heuristics and examples of usage. Moreover, the chapter presents the recent developments in chatbot design techniques and challenges.
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More Results
Chapter 7
Intelligent Log Analysis Using Machine and Deep Learning
Class of ANN that have recurrent connections that allow the network to maintain internal state/memory.
Published in Chapter: Intelligent Log Analysis Using Machine and Deep Learning; From: Machine Learning and Cognitive Science Applications in Cyber Security
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Chapter 2
Survey of Applications of Neural Networks and Machine Learning to COVID-19 Predictions
Class of Artificial Neural Networks (ANN) also called Feedback Neural Networks (FNN) where connections between nodes form a directed graph along a temporal sequence ( Wikipedia, 2020 ).
Published in Chapter: Survey of Applications of Neural Networks and Machine Learning to COVID-19 Predictions; From: Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning
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Chapter 25
Quantum Backpropagation Neural Network Approach for Modeling of Phenol Adsorption from Aqueous Solution by Orange Peel Ash
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Chapter 7
A Comparison of Machine Learning Algorithms of Big Data for Time Series Forecasting Using Python
A neural network using internal state to process sequences of inputs that is commonly used in time series, natural language processing and speech recognition.
Published in Chapter: A Comparison of Machine Learning Algorithms of Big Data for Time Series Forecasting Using Python; From: Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities
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