Paramasivan Saratchandran

Artificial Intelligence · 2004–2009

A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #7,186 of 35,345 by trust here, #9,760 by citations
• Electrical and Electronic Engineering — 5 citations into it

Whom Paramasivan Saratchandran trusts overall

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

1. G. Huang
2. Michael C. Mozer
3. Paul Smolensky
4. Sukhan Lee
5. Nikola K. Kasabov
6. Plamen Parvanov Angelov
7. Narasimhan Sundararajan
8. David E. Rumelhart

Who trusts Paramasivan Saratchandran overall

1. G. Huang
2. Hai-Jun Rong
3. Nan-Ying Liang
4. Han Zou
5. Narasimhan Sundararajan
6. Hong-gui Han
7. Gao Huang
8. Shuang Feng
9. Edwin David Lughofer
10. Hao Yu

Papers from Paramasivan Saratchandran's perspective

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

1. Learning internal representations by error propagation
2. Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment
3. Learning capability and storage capacity of two-hidden-layer feedforward networks (IEEE Trans. Neural Networks)
4. DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction (IEEE transactions on fuzzy systems)
5. Extreme learning machine: a new learning scheme of feedforward neural networks (2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541))
6. A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation (IEEE Transactions on Neural Networks)
7. An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks (IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics))
8. UCI Repository of machine learning databases
9. Support Vector Regression Machines
10. Extreme learning machine: Theory and applications

Their papers

• Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems (2009) — 339 citations
• Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction (2006) — 364 citations
• A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks (2006) — 1,906 citations
• A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation (2005) — 703 citations
• An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks (2004) — 400 citations