Hanaki Yachi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it

Whom Hanaki Yachi trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sebastian Ruder (in Artificial Intelligence)
2. Manuel López-Ibáñez (in Artificial Intelligence)

Papers from Hanaki Yachi's perspective

Ordered by how strongly the researchers Hanaki Yachi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Multilayer feedforward networks are universal approximators
2. A logical calculus of the ideas immanent in nervous activity
3. A new optimizer using particle swarm theory
4. No free lunch theorems for optimization
5. An evolutionary algorithm that constructs recurrent neural networks
6. A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization (J. Heuristics)
7. An overview of gradient descent optimization algorithms
8. A direct adaptive method for faster backpropagation learning: the RPROP algorithm
9. Neural Networks: A Comprehensive Foundation
10. Synaptic computation

Their papers

• Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction (2019) — 577 citations