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Entropy, Volume 25, Issue 3

March 2023 - 156 articles

Cover Story: Unraveling the mysteries of neural networks, both natural and artificial, is essential for understanding human cognition and improving AI systems. Current information-theoretic methods provide insights into these networks but fail to conclusively identify functional modules. Here, we introduce a novel information-theoretic measure, relay information (IR), capable of pinpointing functional modules in artificial neural networks. Aided by a greedy search algorithm, IR significantly reduces the number of tests needed to identify the most informative neuron sets. Extensive examples showcase IR's ability to recover relevant functional nodes and demonstrate how perturbations affect predicted functionality, offering a breakthrough in understanding the inner workings of neural networks. View this paper
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Articles (156)

  • Article
  • Open Access
10 Citations
3,778 Views
23 Pages

22 March 2023

As a promising information theory, reinforcement learning has gained much attention. This paper researches a wind-storage cooperative decision-making strategy based on dueling double deep Q-network (D3QN). Firstly, a new wind-storage cooperative mode...

  • Article
  • Open Access
8 Citations
2,845 Views
21 Pages

22 March 2023

The energy loss inside a centrifugal pump has a significant effect on its performance characteristics. Based on the structural characteristics of the humpback pectoral fin, a new tongue was designed to improve the performance of the centrifugal pump....

  • Article
  • Open Access
9 Citations
2,769 Views
20 Pages

21 March 2023

Combined cooling, heating, and power (CCHP) system is an effective solution to solve energy and environmental problems. However, due to the demand-side load uncertainty, load-prediction error, environmental change, and demand charge, the energy dispa...

  • Feature Paper
  • Article
  • Open Access
3 Citations
5,487 Views
39 Pages

NaRnEA: An Information Theoretic Framework for Gene Set Analysis

  • Aaron T. Griffin,
  • Lukas J. Vlahos,
  • Codruta Chiuzan and
  • Andrea Califano

21 March 2023

Gene sets are being increasingly leveraged to make high-level biological inferences from transcriptomic data; however, existing gene set analysis methods rely on overly conservative, heuristic approaches for quantifying the statistical significance o...

  • Article
  • Open Access
8 Citations
2,247 Views
17 Pages

Blind Deconvolution Based on Correlation Spectral Negentropy for Bearing Fault

  • Tian Tian,
  • Gui-Ji Tang,
  • Yin-Chu Tian and
  • Xiao-Long Wang

21 March 2023

Blind deconvolution is a method that can effectively improve the fault characteristics of rolling bearings. However, the existing blind deconvolution methods have shortcomings in practical applications. The minimum entropy deconvolution (MED) and the...

  • Article
  • Open Access
3 Citations
3,874 Views
19 Pages

Dynamic Asset Allocation with Expected Shortfall via Quantum Annealing

  • Hanjing Xu,
  • Samudra Dasgupta,
  • Alex Pothen and
  • Arnab Banerjee

21 March 2023

Recent advances in quantum hardware offer new approaches to solve various optimization problems that can be computationally expensive when classical algorithms are employed. We propose a hybrid quantum-classical algorithm to solve a dynamic asset all...

  • Article
  • Open Access
2 Citations
4,066 Views
22 Pages

21 March 2023

In the field of machine learning, vector quantization is a category of low-complexity approaches that are nonetheless powerful for data representation and clustering or classification tasks. Vector quantization is based on the idea of representing a...

  • Feature Paper
  • Article
  • Open Access
2 Citations
2,123 Views
14 Pages

More Stages Decrease Dissipation in Irreversible Step Processes

  • Peter Salamon,
  • Bjarne Andresen,
  • James Nulton,
  • Ty N. F. Roach and
  • Forest Rohwer

21 March 2023

The dissipation in an irreversible step process is reduced when the number of steps is increased in any refinement of the steps in the process. This is a consequence of the ladder theorem, which states that, for any irreversible process proceeding by...

  • Feature Paper
  • Article
  • Open Access
1 Citations
2,633 Views
13 Pages

Quantization of Integrable and Chaotic Three-Particle Fermi–Pasta–Ulam–Tsingou Models

  • Alio Issoufou Arzika,
  • Andrea Solfanelli,
  • Harald Schmid and
  • Stefano Ruffo

21 March 2023

We study the transition from integrability to chaos for the three-particle Fermi–Pasta–Ulam–Tsingou (FPUT) model. We can show that both the quartic β-FPUT model (α=0) and the cubic one (β=0) are integrable by introdu...

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Entropy - ISSN 1099-4300