Yancho Todorov

According to our database, Yancho Todorov authored at least 12 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

A Multiple Light Scenes Suited Turbidity Analysis Method Based on Image Recognition and Information Fusion.

Can Zhou, Tianhao Liu, Hongqiu Zhu, Fanbiao Li, Keke Huang, Bei Sun, Yancho Todorov

IEEE Trans. Instrum. Meas., 2022

2017

Genetic algorithm for system modelling.

Marius Olteanu, Nicolae Paraschiv, Petia D. Koprinkova, Yancho Todorov

Proceedings of the 9th International Conference on Electronics, 2017

2016

Intuitionistic Neo-Fuzzy predictive control.

Margarita Terziyska, Yancho Todorov

Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Intuitionistic Neo-Fuzzy Network for modeling of nonlinear systems dynamics.

Margarita Terziyska, Yancho Todorov

Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Input space selective fuzzification in intuitionistic semi fuzzy-neural network.

Margarita Terziyska, Yancho Todorov, Marius Olteanu

Proceedings of the 8th International Conference on Electronics, 2016

2014

Fuzzy-neural predictive control using fast optimisation polices.

Margarita Terziyska, Yancho Todorov

Int. J. Reason. based Intell. Syst., 2014

State-space fuzzy-neural network for modeling of nonlinear dynamics.

Yancho Todorov, Margarita Terziyska

Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014

An intelligent approach to formulate the contents of novel functional food.

Yancho Todorov, Maria Doneva, Petya Metodieva, Iliana Nacheva

Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014

Modeling of Chaotic Time Series by Interval Type-2 NEO-Fuzzy Neural Network.

Yancho Todorov, Margarita Terzyiska

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013

Recurrent Fuzzy-Neural Network with Fast Learning Algorithm for Predictive Control.

Yancho Todorov, Margarita Terzyiska, Michail Petrov

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

Implementations of a Hammerstein fuzzy-neural model for predictive control of a lyophilization plant.

Yancho Todorov, Sevil Ahmed, Michail Petrov, Vasilliy Chitanov

Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

2011

Model Predictive Control of a Lyophilization Plant: a Simplified Approach Using Wiener and Hammerstein Systems.

Yancho Todorov, Michail Petrov

Control. Intell. Syst., 2011