Abir Jaafar Hussain

Artificial Intelligence · 2008–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Abir Jaafar Hussain trusts overall

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

  1. Ronald J. Williams
  2. Lijuan Cao
  3. David Zipser
  4. Ramesh Sharda
  5. Francis Eng Hock Tay
  6. Kurt Hornik
  7. Rajendra B. Patil
  8. Ken-ichi Funahashi

Papers from Abir Jaafar Hussain's perspective

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

  1. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
  2. Financial Forecasting Using Support Vector Machines (Neural computing & applications (Print))
  3. Experimental Analysis of the Real-time Recurrent Learning Algorithm
  4. Connectionist approach to time series prediction: an empirical test
  5. Approximation capabilities of multilayer feedforward networks
  6. On the approximate realization of continuous mappings by neural networks
  7. An Algorithm for Least-Squares Estimation of Nonlinear Parameters
  8. A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES
  9. Forecasting Foreign Exchange Rates With Artificial Neural Networks: A Review
  10. Support vector machine with adaptive parameters in financial time series forecasting (IEEE Trans. Neural Networks)

Their papers