Browsing Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed by Publisher "Acad Sciences Czech Republic, Inst Computer Science"
Now showing items 1-3 of 3
-
LYAPUNOV THEORY BASED ADAPTIVE LEARNING ALGORITHM FOR MULTILAYER NEURAL NETWORKS
(Acad Sciences Czech Republic, Inst Computer Science, 2014)This paper presents a novel weight updating algorithm for training of multilayer neural network (MLNN). The MLNN system is first linearized and then the design procedure is proposed as an inequality constraint optimization ... -
A NEW CLASSIFICATION ALGORITHM: OPTIMALLY GENERALIZED LEARNING VECTOR QUANTIZATION (OGLVQ)
(Acad Sciences Czech Republic, Inst Computer Science, 2017)We present a new Generalized Learning Vector Quantization classifier called Optimally Generalized Learning Vector Quantization based on a novel weight-update rule for learning labeled samples. The algorithm attains stable ... -
A SINGLE-STEP CLUSTERING ALGORITHM BASED ON A NEW INFORMATION-THEORETIC SAMPLE ASSOCIATION METRIC DEFINITION
(Acad Sciences Czech Republic, Inst Computer Science, 2017)A single-step information-theoretic algorithm that is able to identify possible clusters in dataset is presented. The proposed algorithm consists in representation of data scatter in terms of similarity-based data point ...
