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Is artificial neural network a classification algorithm? 

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Papers (10)Insight
Proceedings Article•DOI
A neural network that uses evolutionary learning
Mario Köppen, M. Teunis, Bertram Nickolay 
13 Apr 1997
14 Citations
Nessy algorithm can be characterized as an individual evolutionary algorithm, but as a neural network too.
Open access•Journal Article•DOI
The Parallelization of Back Propagation Neural Network in MapReduce and Spark
Yang Liu, Lixiong Xu, Maozhen Li 
01 Aug 2017-International Journal of Parallel Programming
36 Citations
Artificial neural network is proved to be an effective algorithm for dealing with recognition, regression and classification tasks.
Journal Article•DOI
Ultrasonic transducer characterization by neural networks
Mohammad S. Obaidat, H. Khalid, Balqies Sadoun 
01 Jun 1998-Information Sciences
20 Citations
It was found that artificial neural network (ANN) techniques, in general, provide better classification as compared to the pattern recognition techniques we applied earlier (M. S.
Journal Article•DOI
A comparison of gradient ascent, gradient descent and genetic-algorithm-based artificial neural networks for the binary classification problem
Parag C. Pendharkar
01 May 2007-Expert Systems
15 Citations
Our experiments indicate that a genetic-algorithm-based artificial neural network that maximizes the total number of correct classifications generally fares well for the binary classification problem.
Journal Article•DOI
Classification of asthmatic breath sounds: preliminary results of the classifying capacity of human examiners versus artificial neural networks
S. Rietveld, M. Oud, E. H. Dooijes 
01 Oct 1999-Computers and Biomedical Research
58 Citations
Artificial neural networks, however, are able to handle classification tasks and show positive results.
Proceedings Article•DOI
Statistical Feature Extraction for Classification of Image Spam Using Artificial Neural Networks
M. Soranamageswari, C. Meena 
09 Feb 2010
34 Citations
The artificial neural network is an effective classification method for solving feature extraction problems.
Journal Article•DOI
Classifying Epilepsy Diseases Using Artificial Neural Networks and Genetic Algorithm
Sabri Koçer, M. Rahmi Canal 
01 Aug 2011-Journal of Medical Systems
32 Citations
This study shows that the artificial neural network increases the classification performance using genetic algorithm.
Proceedings Article•DOI
Measurement-based RSS-multipath neural network indoor positioning technique
Chen Guofeng, Yan Zhang, Limin Xiao, Jiahui Li, Lai Zhou, Shidong Zhou 
04 May 2014
15 Citations
Neural network technique is an effective classification and prediction method.
Open access•Journal Article•DOI
Application of artificial neural networks to predict the deflections of reinforced concrete beams
Mateusz Kaczmarek, Agnieszka Szymanska 
01 Jun 2016-Studia Geotechnica et Mechanica
16 Citations
Artificial neural network is a versatile modelling tool capable of making predictions of values that are difficult to obtain in numerical analysis.
Journal Article•DOI
Artificial neural networks to support petrographic classification of carbonate-siliciclastic rocks using well logs and textural information
Adrielle Silva, Irineu Lima Neto, Roseane M. Misságia, Marco Ceia, Abel G. Carrasquilla, Nathaly L. Archilha 
01 Jun 2015-Journal of Applied Geophysics
45 Citations
The artificial neural network (ANN) is a computational method based on human brain function and is efficient in recognizing previously trained patterns.

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How can artificial intelligence be used to classify animals?5 answersArtificial intelligence can be used to classify animals in various ways. One approach is using AI algorithms to analyze camera trap images and discriminate individual animals carrying tags. Another method involves developing deep neural network algorithms that utilize accelerometry data to classify animal behavior. Additionally, deep learning computer vision models can be trained to automatically detect, count, and classify different species in camera trap images. These models can provide accurate predictions and facilitate the application of AI in wildlife monitoring. By implementing these AI techniques, researchers and practitioners can efficiently classify animals, monitor their behavior, and analyze large datasets from camera traps.
What are the different types of machine learning algorithms?5 answersMachine learning algorithms can be classified into various types. These include supervised, unsupervised, semi-supervised, and reinforcement learning. Additionally, deep learning is a subset of machine learning that can analyze data on a large scale. Some commonly used machine learning algorithms are the Naïve Bayes classifier, support vector machine, neural network, and decision tree. These algorithms are used for tasks such as data classification, prediction, pattern recognition, data mining, and image processing. The main advantage of using machine learning is that once an algorithm learns from data, it can perform tasks autonomously.
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