AIMC Topic: Programming, Linear

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On energy complexity of fully-connected layers.

Neural networks : the official journal of the International Neural Network Society May 31, 2024
The massive increase in the size of deep neural networks (DNNs) is accompanied by a significant increase in energy consumption of their hardware implementations which is critical for their widespread deployment in low-power mobile devices. In our pre...
Neural Networks, Computer Algorithms Computers Deep Learning Programming, Linear
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Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors.

Neural networks : the official journal of the International Neural Network Society May 13, 2023
A recurrent neural network (RNN) can generate a sequence of patterns as the temporal evolution of the output vector. This paper focuses on a continuous-time RNN model with a piecewise-linear activation function that has neither external inputs nor hi...
Neural Networks, Computer Computer Simulation Time Factors Neurons Programming, Linear
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A Novel Method for Inferring Chemical Compounds With Prescribed Topological Substructures Based on Integer Programming.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2022
Drug discovery is one of the major goals of computational biology and bioinformatics. A novel framework has recently been proposed for the design of chemical graphs using both artificial neural networks (ANNs) and mixed integer linear programming (MI...
Neural Networks, Computer Algorithms Drug Discovery Computational Biology Programming, Linear
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Finite-Time Synchronization of Markovian Coupled Neural Networks With Delays via Intermittent Quantized Control: Linear Programming Approach.

IEEE transactions on neural networks and learning systems Oct 5, 2022
This article is devoted to investigating finite-time synchronization (FTS) for coupled neural networks (CNNs) with time-varying delays and Markovian jumping topologies by using an intermittent quantized controller. Due to the intermittent property, i...
Neural Networks, Computer Algorithms Time Factors Programming, Linear
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New Criteria for Synchronization of Multilayer Neural Networks via Aperiodically Intermittent Control.

Computational intelligence and neuroscience Sep 27, 2022
In this paper, the globally asymptotic synchronization of multi-layer neural networks is studied via aperiodically intermittent control. Due to the property of intermittent control, it is very hard to deal with the effect of time-varying delays and a...
Neural Networks, Computer Time Factors Rest Programming, Linear
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A Hybrid Algorithm of Ant Colony and Benders Decomposition for Large-Scale Mixed Integer Linear Programming.

Computational intelligence and neuroscience Aug 31, 2022
The mixed integer linear programming (MILP) has been widely applied in many fields such as supply chain management and robot control, while how to develop a more efficient algorithm to solve large-scale MILP is still in discussion. This study address...
Artificial Intelligence Algorithms Programming, Linear
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A smoothing gradient-based neural network strategy for solving semidefinite programming problems.

Network (Bristol, England) Aug 4, 2022
Linear semidefinite programming problems have received a lot of attentions because of large variety of applications. This paper deals with a smooth gradient neural network scheme for solving semidefinite programming problems. According to some proper...
Neural Networks, Computer Problem Solving Programming, Linear
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Finite-time bipartite synchronization of switched competitive neural networks with time delay via quantized control.

ISA transactions Jun 17, 2021
This article tackles the finite-time bipartite synchronization (FTBS) of coupled competitive neural networks (CNNs) with switching parameters and time delay. Quantized control is utilized to achieve the FTBS at a small control cost and with limited c...
Neural Networks, Computer Algorithms Time Factors Programming, Linear
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ℓ-gain filter design of discrete-time positive neural networks with mixed delays.

Neural networks : the official journal of the International Neural Network Society Oct 25, 2019
This paper mainly focuses on the filter design with ℓ-gain disturbance attenuation performance for a class of discrete-time positive neural networks. Discrete and distributed time-varying delays occurring in neuron transmission are taken into account...
Neural Networks, Computer Computer Simulation Water Gene Regulatory Networks Models, Biological Programming, Linear
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Modeling of linear programming and extended TOPSIS in decision making problem under the framework of picture fuzzy sets.

PloS one Aug 13, 2019
Picture fuzzy sets (PFSs) are comparatively a new extension of fuzzy sets which describe the human opinions that has more answers like acceptance, rejection, neutral and desist, which cannot be correctly presented in fuzzy sets (FSs) and intuitionist...
Algorithms Fuzzy Logic Decision Making Programming, Linear
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