Generalization in neural networks: A broad survey
C Rohlfs - Neurocomputing, 2025 - Elsevier
This paper reviews concepts, modeling approaches, and recent findings along a spectrum of
different levels of abstraction of neural network models including generalization across (1) …
different levels of abstraction of neural network models including generalization across (1) …
Many-objective coevolutionary learning algorithm with extreme learning machine auto-encoder for ensemble classifier of feedforward neural networks
In artificial neural network (ANN) learning, empirical risk can be expressed by training error,
while structural risk can be expressed by network complexity. Learning from data is often …
while structural risk can be expressed by network complexity. Learning from data is often …
Neural networks regularization with graph-based local resampling
This paper presents the concept of Graph-based Local Resampling of perceptron-like neural
networks with random projections (RN-ELM) which aims at regularization of the yielded …
networks with random projections (RN-ELM) which aims at regularization of the yielded …
Multi-objective neural network model selection with a graph-based large margin approach
This work presents a new decision-making strategy for multi-objective learning problem of
artificial neural networks (ANN). The proposed decision-maker searches for the solution that …
artificial neural networks (ANN). The proposed decision-maker searches for the solution that …
Biobjective optimization problems in simple neural networks as binary associative memories
T Saito, T Togawa - … on Systems, Man, and Cybernetics (SMC), 2021 - ieeexplore.ieee.org
This paper studies biobjective optimization problems in synthesis of binary associative
memories characterized by ternary cross-connection parameters and the signum activation …
memories characterized by ternary cross-connection parameters and the signum activation …
A Trade-Off between Memory Stability and Connection Sparsity in Simple Binary Associative Memories
K Saka, T Saito - IEICE Transactions on Fundamentals of …, 2022 - search.ieice.org
This letter studies a biobjective optimization problem in binary associative memories
characterized by ternary connection parameters. First, we introduce a condition of …
characterized by ternary connection parameters. First, we introduce a condition of …