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Volume 22, Issue 1Mar 2023
Publisher:
  • Kluwer Academic Publishers
  • 101 Philip Drive Assinippi Park Norwell, MA
  • United States
ISSN:1567-7818
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research-article
Solving subset sum by spiking neural P systems with astrocytes producing calcium
Abstract

We consider spiking neural P systems with astrocytes producing calcium that differs from the standard spiking neural P systems in several ways: we have a new type of resources called calcium unit alongside the standard spike, we have a new type of ...

research-article
On the power of boundary rule application in membrane computing
Abstract

In this paper, it is investigated how different features of membrane systems can be simulated by the boundary rule application. Firstly, it is discussed how the effect of maximally parallel mode can be obtained by non-cooperative boundary rules ...

research-article
About reversibility in sP colonies and reaction systems
Abstract

In this paper, we study reversibility in sP colonies and in reaction systems. sP colony is a  bio-inspired computational model formed from an environment and a finite set of agents. The current state of the environment is represented by a finite ...

research-article
Spiking neural P systems and their semantics in Haskell
Abstract

We use the functional programming language Haskell to design semantic interpreters for the spiking neural P systems. Haskell provides an appropriate support for implementing the denotational semantics of a concurrent language inspired by the ...

research-article
Automatic design of arithmetic operation spiking neural P systems
Abstract

As one of the most widely studied membrane systems, a spiking neural P system consists of three fundamental elements: initial spikes, evolution rules and connection between neurons. The automatic design of an arithmetic operation spiking neural P ...

research-article
Estimation of minimum viable population for giant panda ecosystems with membrane computing models
Abstract

Even though the giant panda’s extinction status is downgraded from endangered to vulnerable, but the animals still face an uphill battle for survival. Moreover, the number of giant pandas is also rare. With the increase of captive individuals, ...

research-article
On the power of membrane dissolution in polarizationless P systems with active membranes
Abstract

It is known that dissolution rules are necessary in polarizationless P systems with active membranes to solve problems beyond AC0 using reasonable tight uniformity conditions (Murphy and Woods, Fundam Inf Series 134:129–152, 2014). On the other ...

research-article
Face illumination normalization based on generative adversarial network
Abstract

Face recognition technology has been widely used in the field of artificial intelligence. The technology needs to be carried out normally under the appropriate light, however, there is not ideal light, even poor-lighted for the face recognition ...

research-article
Tissue P systems with evolutional communication rules with two objects in the left-hand side
Abstract

In the framework of Membrane Computing, several efficient solutions to computationally hard problems have been given. To find new borderlines between families of P systems that can solve them and the ones that cannot is an important task to tackle ...

research-article
Bio-inspired modelling as a practical tool to manage giant panda population dynamics in captivity
Abstract

The highly endangered giant panda (Ailuropoda melanoleuca) is the world’s most widely recognised conservation icon. Population dynamics models can get on track to a healthy population for giant pandas, and assess its development over time. This ...

research-article
Feature selection algorithm based on P systems
Abstract

Since the number of features of the dataset is much higher than the number of patterns, the higher the dimension of the data, the greater the impact on the learning algorithm. Dimension disaster has become an important problem. Feature selection ...

research-article
Morphogenetic computing: computability and complexity results
Abstract

A morphogenetic (M) system is an abstract computational model combining properties of membrane (P) systems, such as computing via abstract particles in separate compartments regulating their workflow, with algorithmic self-assembly generalizing ...

research-article
GPU simulations of spiking neural P systems on modern web browsers
Abstract

In this work we present a novel and proof of concept Spiking Neural P system (for short, SN P systems) simulator that runs on modern web browsers whilst using graphics processing units (for short, GPUs). By creating an SN P system that both ...

research-article
A tutorial on the formal framework for spiking neural P systems
Abstract

The model of Spiking Neural P systems (SNP systems) is a widespread computational model in the area of membrane computing. It has numerous applications, especially related to machine learning. Most of these applications require a custom variant of ...

research-article
Deep learning networks with rough-refinement optimization for food quality assessment
Abstract

Food quality assessment is an important part of the food industry. The traditional food quality assessment technologies have the limitations of inconsistent and different technical defects for each method. Data mining technology has significant ...

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