Neural Network

Vadla, Pradeep Kumar; Ruwali, Adarsha; Prakash, Kolla Bhanu; Lakshmi, M. V. Prasanna; Kanagachidambaresan, G. R.

doi:10.1007/978-3-030-57077-4_5

Cited by 6 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Pada dasarnya Neural Network adalah sebuah metode yang dikembangan dengan proses perhitungan linear untuk menyajikan sebuah solusi dalam memecahkan sebuah masalah [13]. Kemudian dalam penjelasan lainnya, juga mengatakan bahwa Neural Network merupakan sebuah konsep dari Artificial Intelligence (AI) yang mampu digunakan untuk menyelesaikan masalah dengan bentuk perhitungan yang terawasi [14]. ANN merupakan salah satu konsep serta metode yang juga banyak digunakan oleh peneliti sebelumnya dalam proses identifikasi.…”

Section: Pendahuluanunclassified

Fuzzy Neural Network (FNN) Pada Proses Identifikasi Penyakit ISPA

Saputra

Yanto

Safitri

et al. 2021

mib

View full text Add to dashboard Cite

ISPA is a disease that can affect anyone from children, adolescents, adults, and even the elderly. The causes experienced by sufferers of this disease are quite simple, such as fever, runny nose, and cough. The discussion in this paper describes the process of ISPA disease identification by developing a Fuzzy Neural Network (FNN) model. The process will be optimized using Fuzzy Logic to form rules for the diagnostic process, then proceed with an Artificial Neural Network (ANN). This model can maximize the performance of ANN in the identification process so that the output given is quite precise and accurate. The results provided by Fuzzy Logic can describe the clarity of the rules in diagnosis by presenting several rules (rules) that are presented from the Fuzzyfication process to the Defuzzyfication process. The output obtained from the ANN process also shows quite perfect results with an average error value based on MSE of 0.00912 and accuracy value of 91.96%. With these results, it can be stated that the FNN model can be used in the ISPA diagnosis process so that the presentation of this paper aims to provide an alternative in the identification process

show abstract

Section: Pendahuluanunclassified

Fuzzy Neural Network (FNN) Pada Proses Identifikasi Penyakit ISPA

Saputra

Yanto

Safitri

et al. 2021

mib

View full text Add to dashboard Cite

show abstract

“…Table 1 summarizes the most prominent algorithms in Machine Learning. Neural Networks were inspired by biological systems and are able to model complex problems (Vadla et al 2021). These networks are composed by multiple interconnected units called neurons and the connections represent synapses.…”

Section: Introductionmentioning

confidence: 99%

On the Missing Diagrams in Category Theory

Ochs

2023

Handbook of Abductive Cognition

View full text Add to dashboard Cite

Artificial Intelligence and Machine Learning have been widely applied in several areas with the twofold goal of improving people's wellbeing and accelerating computational processes. This may be seen in medical assistance (for example, automatic verification of MRI images), in personal assistants that adapt the content to the user based on his/her preferences or, to optimize query response times in relational databases and accelerate the information retrieval process. Most of Machine Learning algorithms used need a dataset to train on, so that the resulting models can be used, for example, to predict a value or enable user-specific results. Considering predictive methods, when new data arrives a new training of the model may be needed. Speculative Computation is a Machine Learning sub-field that seeks to enable computation to be one step ahead of the user by speculating the value that will be received to be computed. A change in the environment may affect the execution, but the adjustments are rapidly performed. This paper intends to provide an overview of the field of Speculative Computation, describing its main characteristics and advantages, and different scenarios of the medical field in which it is applied. It also provides a critical and comparative analysis with other Machine Learning

show abstract

Advanced Deep Learning Techniques

Bharadwaj

2021

Advanced Deep Learning for Engineers and Scientists

View full text Add to dashboard Cite

Neural Network

Cited by 6 publications

References 0 publications

Fuzzy Neural Network (FNN) Pada Proses Identifikasi Penyakit ISPA

Fuzzy Neural Network (FNN) Pada Proses Identifikasi Penyakit ISPA

On the Missing Diagrams in Category Theory

Advanced Deep Learning Techniques

Contact Info

Product

Resources

About