Cover Image

Training neural networks without backpropagation using particles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Kumar, Deepak
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reinitializing weights vs units for maintaining plasticity in neural networks
by: Hernandez-Garcia, J. Fernando, et al.
Published: (2025)

Experiment on creating a neural network with weights determined by the potential of a simulated electrostatic field
by: Polad, Geidarov
Published: (2025)

DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor
by: Richter, Ole, et al.
Published: (2023)

Reconsidering the energy efficiency of spiking neural networks
by: Yan, Zhanglu, et al.
Published: (2024)

KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch
by: Niemczynowicz, Agnieszka, et al.
Published: (2024)

Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
by: Song, Yu, et al.
Published: (2024)

Advanced Artificial Intelligence Strategy for Optimizing Urban Rail Network Design using Nature-Inspired Algorithms
by: Kumar, Hariram Sampath, et al.
Published: (2024)

Minimizing the energy depletion in wireless rechargeable sensor networks using bi-level metaheuristic charging schemes
by: Binh, Huynh Thi Thanh, et al.
Published: (2025)

Improved discrete particle swarm optimization using Bee Algorithm and multi-parent crossover method (Case study: Allocation problem and benchmark functions)
by: Zibaei, Hamed, et al.
Published: (2024)

An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters
by: Keisler, Julie, et al.
Published: (2023)

Gate-level boolean evolutionary geometric attention neural networks
by: Shi, Xianshuai, et al.
Published: (2025)

Differentiable architecture search with multi-dimensional attention for spiking neural networks
by: Man, Yilei, et al.
Published: (2024)

Similarity-based context aware continual learning for spiking neural networks
by: Han, Bing, et al.
Published: (2024)

Phase codes emerge in recurrent neural networks optimized for modular arithmetic
by: Murray, Keith T.
Published: (2023)

Towards graph neural networks for provably solving convex optimization problems
by: Qian, Chendi, et al.
Published: (2025)

Visuospatial navigation from the bottom-up: without vestibular integration, distance prediction, or maps
by: Govoni, Patrick, et al.
Published: (2024)

Stabilizing Spiking Neuron Training
by: Herranz-Celotti, Luca, et al.
Published: (2022)

Spiking mode-based neural networks
by: Lin, Zhanghan, et al.
Published: (2023)

Neural networks with image recognition by pairs
by: Geidarov, Polad
Published: (2025)

Towards Robust and Accurate Myoelectric Controller Design based on Multi-objective Optimization using Evolutionary Computation
by: Shaikh, Ahmed Aqeel, et al.
Published: (2022)

From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
by: Russin, Jacob, et al.
Published: (2024)

Interpolating neural network: A novel unification of machine learning and interpolation theory
by: Park, Chanwook, et al.
Published: (2024)

Long-only cryptocurrency portfolio management by ranking the assets: a neural network approach
by: Yang, Zijiang
Published: (2025)

A logical re-conception of neural networks: Hamiltonian bitwise part-whole architecture
by: Bowen, E, et al.
Published: (2026)

Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
by: Zhang, Boxuan, et al.
Published: (2025)

Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks
by: Saiin, Ryuji, et al.
Published: (2023)

Fractional-order spike-timing-dependent gradient descent for multi-layer spiking neural networks
by: Yang, Yi, et al.
Published: (2024)

Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators
by: Jorgensen, Steven, et al.
Published: (2025)

Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
by: Ma, Chenxiang, et al.
Published: (2025)

Artificial Intelligence Based Navigation in Quasi Structured Environment
by: Kumar, Hariram Sampath, et al.
Published: (2024)

Multi-Plasticity Synergy with Adaptive Mechanism Assignment for Training Spiking Neural Networks
by: Liu, Yuzhe, et al.
Published: (2025)

Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
by: Feng, Wanjin, et al.
Published: (2025)

Training-Free Diffusion-Driven Modeling of Pareto Set Evolution for Dynamic Multiobjective Optimization
by: Guan, Jian, et al.
Published: (2026)

GEGO: A Hybrid Golden Eagle and Genetic Optimization Algorithm for Efficient Hyperparameter Tuning in Resource-Constrained Environments
by: Nazarians, Amaras, et al.
Published: (2026)

NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework
by: Caviglia, Alessio, et al.
Published: (2026)

Functional connectomes of neural networks
by: Songdechakraiwut, Tananun, et al.
Published: (2024)

Rethinking SNN Online Training and Deployment: Gradient-Coherent Learning via Hybrid-Driven LIF Model
by: Hao, Zecheng, et al.
Published: (2024)

NEXUS: Bit-Exact ANN-to-SNN Equivalence via Neuromorphic Gate Circuits with Surrogate-Free Training
by: Tang, Zhengzheng
Published: (2026)

Darwin Family: MRI-Trust-Weighted Evolutionary Merging for Training-Free Scaling of Language-Model Reasoning
by: Kim, Taebong, et al.
Published: (2026)

Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective
by: Singh, Gaurav, et al.
Published: (2024)