Yancho Todorov

12 papers A 2C 4Journal 3Unranked 3
YearRankTypeTitle / Venue / Authors
2022 J jnl
A Multiple Light Scenes Suited Turbidity Analysis Method Based on Image Recognition and Information Fusion.
IEEE Trans. Instrum. Meas.
Can Zhou, Tianhao Liu, Hongqiu Zhu, Fanbiao Li, Keke Huang, Bei Sun, Yancho Todorov
2017 A conf
Genetic algorithm for system modelling.
ECAI
Marius Olteanu, Nicolae Paraschiv, Petia D. Koprinkova, Yancho Todorov
2016 A conf
Input space selective fuzzification in intuitionistic semi fuzzy-neural network.
ECAI
Margarita Terziyska, Yancho Todorov, Marius Olteanu
2016 — conf
Intuitionistic Neo-Fuzzy Network for modeling of nonlinear systems dynamics.
IEEE Conf. on Intelligent Systems
Margarita Terziyska, Yancho Todorov
2016 — conf
Intuitionistic Neo-Fuzzy predictive control.
IEEE Conf. on Intelligent Systems
Margarita Terziyska, Yancho Todorov
2014 C conf
An intelligent approach to formulate the contents of novel functional food.
INISTA
Yancho Todorov, Maria Doneva, Petya Metodieva, Iliana Nacheva
2014 J jnl
Fuzzy-neural predictive control using fast optimisation polices.
Int. J. Reason. based Intell. Syst.
Margarita Terziyska, Yancho Todorov
2014 C conf
Modeling of Chaotic Time Series by Interval Type-2 NEO-Fuzzy Neural Network.
ICANN
Yancho Todorov, Margarita Terzyiska
2014 C conf
State-space fuzzy-neural network for modeling of nonlinear dynamics.
INISTA
Yancho Todorov, Margarita Terziyska
2013 C conf
Recurrent Fuzzy-Neural Network with Fast Learning Algorithm for Predictive Control.
ICANN
Yancho Todorov, Margarita Terzyiska, Michail Petrov
2012 — conf
Implementations of a Hammerstein fuzzy-neural model for predictive control of a lyophilization plant.
IEEE Conf. of Intelligent Systems
Yancho Todorov, Sevil Ahmed, Michail Petrov, Vasilliy Chitanov
2011 J jnl
Model Predictive Control of a Lyophilization Plant: a Simplified Approach Using Wiener and Hammerstein Systems.
Control. Intell. Syst.
Yancho Todorov, Michail Petrov