Connectionist Bench (Sonar, Mines vs. Rocks)

The task is to train a network to discriminate between sonar signals bounced off a metal cylinder and those bounced off a roughly cylindrical rock.

Dataset Characteristics

Multivariate

Subject Area

Physics and Chemistry

Associated Tasks

Classification

Feature Type

Real

# Instances

208

# Features

60

Dataset Information

Additional Information

The file "sonar.mines" contains 111 patterns obtained by bouncing sonar signals off a metal cylinder at various angles and under various conditions. The file "sonar.rocks" contains 97 patterns obtained from rocks under similar conditions. The transmitted sonar signal is a frequency-modulated chirp, rising in frequency. The data set contains signals obtained from a variety of different aspect angles, spanning 90 degrees for the cylinder and 180 degrees for the rock. Each pattern is a set of 60 numbers in the range 0.0 to 1.0. Each number represents the energy within a particular frequency band, integrated over a certain period of time. The integration aperture for higher frequencies occur later in time, since these frequencies are transmitted later during the chirp. The label associated with each record contains the letter "R" if the object is a rock and "M" if it is a mine (metal cylinder). The numbers in the labels are in increasing order of aspect angle, but they do not encode the angle directly.

Has Missing Values?

No

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
Attribute1FeatureContinuousno
Attribute2FeatureContinuousno
Attribute3FeatureContinuousno
Attribute4FeatureContinuousno
Attribute5FeatureContinuousno
Attribute6FeatureContinuousno
Attribute7FeatureContinuousno
Attribute8FeatureContinuousno
Attribute9FeatureContinuousno
Attribute10FeatureContinuousno

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Baseline Model Performance

Papers Citing this Dataset

Modify Random Forest Algorithm Using Hybrid Feature Selection Method

By Ahmed Sadiq, Karrar Musawi. 2018

Published in International Journal on Perceptive and Cognitive Computing.

0 to 2 of 2

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2 citations
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Creators

Terry Sejnowski

R. Gorman

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