 |
Artificial Intelligence (Latest Articles)
Latest indexed articles for 'Artificial Intelligence'
Articles 111 to 120 of 200:
Adaptive dynamic programming approach to experience-based systems identification and control.
30 Jun 2009 
Humans have the ability to make use of experience while selecting their control actions for distinct and changing situations, and their process speeds up and have enhanced effectiveness as more experience is gained. In contrast, current ...
rec_pub_19632087-adaptive-dynamic-programming-approach-experience-based-systems.htm
30 Jun 2009 The application of a spiking neural network (SNN) and a multi-layer perceptron (MLP) for online identification of generator dynamics in a multimachine power system are compared in this paper. An integrate-and-fire model of an SNN which communicates ...
rec_pub_19616408-comparison-spiking-neural-network-mlp-robust-identification-generator.htm
30 Jun 2009 This study introduces a quantum-inspired spiking neural network (QiSNN) as an integrated connectionist system, in which the features and parameters of an evolving spiking neural network are optimized together with the use of a quantum-inspired ...
rec_pub_19615855-integrated-feature-parameter-optimization-evolving-spiking-neural.htm
A novel multi-epitopic immune network model hybridized with neural theory and fuzzy concept.
30 Jun 2009 The natural immune system provides an effective defense mechanism against foreign substances via complex interactions among various cells and molecules. Jerne introduced the immune network theory to model the relation between immune cells and ...
rec_pub_19608381-a-novel-multi-epitopic-immune-network-model-hybridized-neural-theory.htm
Predictive learning with structured (grouped) data.
30 Jun 2009 Many applications of machine learning involve sparse and heterogeneous data. For example, estimation of diagnostic models using patients' data from clinical studies requires effective integration of genetic, clinical and demographic data. Typically ...
rec_pub_19596546-predictive-learning-structured-grouped-data.htm
29 Jun 2009 
rec_pub_19882767-proceedings-ijcnn2009-2009-international-joint-conference-neural.htm
29 Jun 2009 In this paper a new general purpose perceptual control architecture, based on nonlinear neural lattices, is presented and applied to solve robot navigation tasks. Insects show the ability to react to certain stimuli with simple reflexes, using ...
rec_pub_19596552-cellular-nonlinear-networks-emergence-perceptual-states-application.htm
29 Jun 2009 The optimal control of linear systems accompanied by quadratic cost functions can be achieved by solving the well-known Riccati equation. However, the optimal control of nonlinear discrete-time systems is a much more challenging task that often ...
rec_pub_19596551-optimal-control-unknown-affine-nonlinear-discrete-time-systems-using.htm
A hybrid random field model for scalable statistical learning.
29 Jun 2009 This paper introduces hybrid random fields, which are a class of probabilistic graphical models aimed at allowing for efficient structure learning in high-dimensional domains. Hybrid random fields, along with the learning algorithm we develop for ...
rec_pub_19596548-a-hybrid-random-field-model-scalable-statistical-learning.htm
Protein design by sampling an undirected graphical model of residue constraints.
29 Jun 2009 This paper develops an approach for designing protein variants by sampling sequences that satisfy residue constraints encoded in an undirected probabilistic graphical model. Due to evolutionary pressures on proteins to maintain structure and ...
rec_pub_19644177-protein-design-sampling-undirected-graphical-model-residue-constraints.htm
Results: [1-10] [11-20] [21-30] [31-40] [41-50] [51-60] [61-70] [71-80] [81-90] [91-100] [101-110] [111-120] [121-130] [131-140] [141-150] [151-160] [161-170] [171-180] [181-190] [191-200]