Performance analysis and optimisation of shape recognition and classification using ANN

Nabhani, Farhad; Shaw, Terry V.

doi:10.1016/s0736-5845(02)00008-x

Cited by 10 publications

(1 citation statement)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These authors showed that the use of neural networks is a viable method for identifying objects. 4,5 Neural networks are architectures used for machine learning, their main block is the neuron, a small functional unit. The neuron has an input and an output that is calculated through an activation function and a bias.…”

Section: Introductionmentioning

confidence: 99%

Acquisition and recognition of ultrasonic signatures using multi-layer neural network

Bertemes-Filho¹,

Almeida²

2020

IJBSBE

View full text Add to dashboard Cite

The echo captured by an ultrasonic sensor provides details of the geometric shape of objects, this ability common among dolphins and bats is known as echolocation. The signal detected by an ultrasound sensor contains, in addition to the distance from the object, characteristics such as the type of material and internal cracks. This article describes a method for acquiring ultrasonic signals and recognizing them as geometric shapes through the use of a neural network processed by the TensorFlow JS library. The results using basic geometries (rectangular, triangular and spherical parts) showed that TensorFlow JS recognizes their ultrasonic signatures, being an additional solution to those that use cameras for object recognition.

show abstract

Section: Introductionmentioning

confidence: 99%