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Linqiang Pan
Researcher at Huazhong University of Science and Technology
Publications - 218
Citations - 6954
Linqiang Pan is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Membrane computing & Spiking neural network. The author has an hindex of 46, co-authored 202 publications receiving 5699 citations. Previous affiliations of Linqiang Pan include Zhengzhou University of Light Industry & Rovira i Virgili University.
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A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization
TL;DR: A surrogate-assisted many-objective evolutionary algorithm that uses an artificial neural network to predict the dominance relationship between candidate solutions and reference solutions instead of approximating the objective values separately is proposed.
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Spiking Neural P Systems with Anti-Spikes
Linqiang Pan,Gheorghe Paun +1 more
TL;DR: This simple extension of spiking neural P systems is shown to considerably simplify the universality proofs in this area, where all rules become of the form bc → b′ or bc → lambda , where b,b′ are spikes or anti-spikes.
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Asynchronous spiking neural P systems with local synchronization
TL;DR: In this paper, the authors introduce the notion of local synchronization into asynchronous SN P systems, where the use of spiking rules (even if they are enabled by the contents of neurons) is not obligatory.
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Spiking Neural P Systems with Communication on Request.
TL;DR: The Spiking Neural Systems with Communication on Request are proved to be computationally universal, that is, equivalent with Turing machines as long as two types of spikes are used.
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Spiking neural P systems with neuron division and budding
TL;DR: The features of neuron division and neuron budding are introduced into the framework of spiking neural P systems, which are processes inspired by neural stem cell division to efficiently solve computationally hard problems by means of a space-time tradeoff.