Ricardo de A. Araújo

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ricardo de A. Araújo trusts overall

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

  1. Simon S. Haykin
  2. Martin Fodslette Møller
  3. Nikolaus Hansen
  4. Roberto Battiti
  5. Frans van den Bergh
  6. Martin A. Riedmiller
  7. Martin T. Hagan
  8. F. Leung
  9. Andries Petrus Engelbrecht
  10. Floris Takens

Papers from Ricardo de A. Araújo's perspective

Ordered by how strongly the researchers Ricardo de A. Araújo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning
  2. The CMA Evolution Strategy: A Comparing Review
  3. First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method
  4. A direct adaptive method for faster backpropagation learning: the RPROP algorithm
  5. Neural Networks and Learning Machines
  6. Detecting strange attractors in turbulence
  7. Neural Networks: A Comprehensive Foundation
  8. A Cooperative approach to particle swarm optimization (IEEE Transactions on Evolutionary Computation)
  9. Tuning of the structure and parameters of neural network using an improved genetic algorithm
  10. Training feedforward networks with the Marquardt algorithm

Their papers