Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.5K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.5K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

273
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
273
Rules for Defining Functions01:29

Rules for Defining Functions

73
A relation is a function if each input x is associated with exactly one output y. For example, the equation      y = 2x + 5 defines a function because every value of x yields a unique y. However, x = y² + 1 is not a function of x, since a single x-value, such as x = 2, corresponds to two possible y-values: y = 1 and y = -1.The vertical line test helps determine whether a graph represents a function. If a vertical line intersects a curve more than once, the curve fails...
73
Problem-Solving: Tuning of a Guitar String01:04

Problem-Solving: Tuning of a Guitar String

820
In the case of stringed instruments like the guitar, the elastic property that determines the speed of the sound produced is its linear mass density or the mass per unit length. This is simply called the linear density. If the string's linear density is constant along the string, then the linear density is simply the total mass divided by the total length.
The string's wave speed can be regulated by varying the linear density. Tension is the other property that determines the speed of...
820
Synthetic Disvision of Polynomials01:28

Synthetic Disvision of Polynomials

43
Synthetic division is an efficient algorithmic approach for dividing a polynomial by a linear binomial of the form x - c, where c is a real number. This method is helpful due to its streamlined process, which avoids the more cumbersome steps involved in the traditional long division of polynomials. It simplifies computation and serves as a practical tool for evaluating polynomials and identifying their factors.To perform synthetic division, one begins by listing the coefficients of the...
43
Fixed Action Patterns01:06

Fixed Action Patterns

17.0K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
17.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The fascinating complexity of seagrass bio-fibres: insights from bio-chemo-hygro mechanical analysis for their reuse as soil reinforcement.

Scientific reports·2026
Same author

Utilization of Heritage Manifestations in a Reminiscence Programme (App) Directed at Older Adults with and Without Neurocognitive Disorder, Employing AI: A Pilot Study in Portugal and Spain.

Journal of cross-cultural gerontology·2026
Same author

Machine Learning Prediction of Cardiovascular Risk in Type 1 Diabetes Mellitus Using Radiomic Features from Multimodal Retinal Images.

Ophthalmology science·2025
Same author

Mean Field Initialization of the Annealed Importance Sampling Algorithm for an Efficient Evaluation of the Partition Function Using Restricted Boltzmann Machines.

Entropy (Basel, Switzerland)·2025
Same author

[Reminiscence program supported by artificial intelligence and based on intangible cultural heritage aimed at the elderly: A pilot study].

Revista espanola de geriatria y gerontologia·2023
Same author

Radiomics-Based Assessment of OCT Angiography Images for Diabetic Retinopathy Diagnosis.

Ophthalmology science·2022
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Nov 27, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.9K

On-The-Fly Syntheziser Programming with Fuzzy Rule Learning.

Iván Paz1, Àngela Nebot1, Francisco Mugica1

  • 1Soft Computing Research Group, Intelligent Data Science and Artificial Intelligence Research Center, Computer Sciences Department, Universitat Politècnica de Catalunya-BarcelonaTech, 08012 Barcelona, Spain.

Entropy (Basel, Switzerland)
|December 8, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a novel fuzzy rule learning algorithm for live coding sound synthesis, enabling real-time variations. The method extends IF-THEN rules to hyperrectangles, achieving state-of-the-art accuracy and positive feedback from users.

Keywords:
fuzzy-ruleslive codingsyntheziser programming

More Related Videos

Operant Learning of Drosophila at the Torque Meter
17:31

Operant Learning of Drosophila at the Torque Meter

Published on: June 16, 2008

13.8K
A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

10.1K

Related Experiment Videos

Last Updated: Nov 27, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.9K
Operant Learning of Drosophila at the Torque Meter
17:31

Operant Learning of Drosophila at the Torque Meter

Published on: June 16, 2008

13.8K
A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

10.1K

Area of Science:

  • Computer Music
  • Artificial Intelligence
  • Human-Computer Interaction

Background:

  • Live coding involves real-time programming of sound synthesis algorithms.
  • Existing tools are often unsuitable for the real-time, dynamic nature of live coding performances.
  • Automatic generation of synthesizer variations is needed, but current methods lack real-time feedback and benchmarks.

Purpose of the Study:

  • To develop an effective fuzzy rule learning algorithm for real-time sound synthesizer programming in live coding.
  • To extend traditional IF-THEN rules to cover the feature space more comprehensively.
  • To provide users with control over the balance between novelty and consistency in generated variations.

Main Methods:

  • An algorithm extending IF-THEN rules to hyperrectangles for mapping the input space.
  • Utilizing a maximum volume heuristic to resolve contradictions and generalize rules.
  • User control over novelty-consistency balance via algorithm parameters.
  • Evaluation through live performances, cross-validation, and user testing.

Main Results:

  • The algorithm achieves state-of-the-art accuracy in generating sound synthesizer variations.
  • Demonstrated effectiveness in real-time performance scenarios.
  • Positive reception and feedback from live coding practitioners.

Conclusions:

  • The proposed fuzzy rule learning approach is a promising method for enhancing live coding practices.
  • The algorithm effectively addresses the limitations of existing tools for real-time sound synthesis.
  • Further adoption by the live coding community is anticipated.