Silvio Romero Lemos de Meira
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
- Artificial Intelligence — 6 citations into it
Whom Silvio Romero Lemos de Meira trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Simon S. Haykin
- Martin Fodslette Møller
- Roberto Battiti
- Nikolaus Hansen
- Frans van den Bergh
- Martin A. Riedmiller
- Martin T. Hagan
Papers from Silvio Romero Lemos de Meira's perspective
Ordered by how strongly the researchers Silvio Romero Lemos de Meira trusts endorse each paper. Same corpus, a different order for every researcher.
- A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning
- The CMA Evolution Strategy: A Comparing Review
- First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method
- A direct adaptive method for faster backpropagation learning: the RPROP algorithm
- Neural Networks and Learning Machines
- Detecting strange attractors in turbulence
- A Cooperative approach to particle swarm optimization (IEEE Transactions on Evolutionary Computation)
- Neural Networks: A Comprehensive Foundation
- Tuning of the structure and parameters of neural network using an improved genetic algorithm
- Training feedforward networks with the Marquardt algorithm
Their papers
- A hybrid model for high-frequency stock market forecasting (2015) — 47 citations