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ORCIDEvolving Systems, Volume 8
Volume 8, Number 1, March 2017
- Lazaros S. Iliadis, Konstantinos G. Margaritis, Ilias Maglogiannis
:
Timely advances in evolving neural-based systems special issue. 1-2 - Stamatis Karlos, Nikos Fazakis, Angeliki-Panagiota Panagopoulou, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
Locally application of naive Bayes for self-training. 3-18 - Athanasios Tsadiras, George Zitopoulos:
Fuzzy cognitive maps as a decision support tool for container transport logistics. 19-33 - Petr Hájek, Vladimír Olej:
Intuitionistic neuro-fuzzy network with evolutionary adaptation. 35-47 - Androniki Tamvakis, George E. Tsekouras, Anastasios Rigos, Christos Kalloniatis, Christos-Nikolaos Anagnostopoulos, George C. Anastassopoulos:
A methodology to carry out voting classification tasks using a particle swarm optimization-based neuro-fuzzy competitive learning network. 49-69 - Markus Kächele, Mohammadreza Amirian, Patrick Thiam, Philipp Werner, Steffen Walter, Günther Palm, Friedhelm Schwenker:
Adaptive confidence learning for the personalization of pain intensity estimation systems. 71-83 - Mario Malcangi, Philip Grew:
Evolving connectionist method for adaptive audiovisual speech recognition. 85-94
Volume 8, Number 2, June 2017
- Amir Hooshang Mazinan, A. Karimi:
Block-based noise variance estimation algorithm in blurred and noisy images with its application to motion deblurring. 95-108 - Manasjyoti Bhuyan, Kandarpa Kumar Sarma, Nikos E. Mastorakis:
Neuro-computational frameworks for non-linear stochastic wireless channels. 109-120 - Ruihua Wang, Yongbo Lv, Min Duan:
Evolutionary game of inter-firm knowledge sharing in innovation cluster. 121-133 - Philip N. Azariadis:
On using density maps for the calculation of ship routes. 135-145 - Sachin Kumar, Durga Toshniwal, Manoranjan Parida:
A comparative analysis of heterogeneity in road accident data using data mining techniques. 147-155 - George Dimitrakopoulos:
Sustainable mobility leveraging on 5G mobile communication infrastructures in the context of smart city operations. 157-166
Volume 8, Number 3, September 2017
- Xiaowei Gu, Plamen P. Angelov, Dmitry Kangin, José C. Príncipe:
A new type of distance metric and its use for clustering. 167-177 - Fling Tseng, Dimitar P. Filev, Ratna Babu Chinnam:
A mutual information based online evolving clustering approach and its applications. 179-191 - Stefan Marks:
Immersive visualisation of 3-dimensional spiking neural networks. 193-201 - Go Hamano, Andrew Lowe, David Cumin:
Design of spiking neural networks for blood pressure prediction during general anesthesia: considerations for optimizing results. 203-210 - Luis A. Páramo-Carranza, Jesús A. Meda-Campaña, José de Jesús Rubio, Ricardo Tapia-Herrera, A. V. Curtidor-López, A. Grande-Meza, I. Cázares-Ramírez:
Discrete-time Kalman filter for Takagi-Sugeno fuzzy models. 211-219 - Jian Xu, Tong-Yi Zhang, Wei Huang, Mingyi Hu:
Improved discrete particle swarm optimization for solving the practical sensors deployment. 221-231 - Shokoufeh Sharifi, Mahsa Sedaghat, Payam Farhadi, Noradin Ghadimi, Bahman Taheri:
Environmental economic dispatch using improved artificial bee colony algorithm. 233-242
Volume 8, Number 4, December 2017
- Nitin Namdeo Pise, Parag A. Kulkarni:
Evolving learners' behavior in data mining. 243-259 - Anagha R. Kulkarni, Vrinda Tokekar, Parag A. Kulkarni:
Characterizing evolving behavior of context vectors for context based clustering. 261-269 - Amir Abbas Shojaie, Ali Dolatshahi-Zand, Shahrzad Vafaie:
Calculating production by using short term demand forecasting models: a case study of fuel supply system. 271-285 - Ramtin Moeini, Mohammad Babaei:
Constrained improved particle swarm optimization algorithm for optimal operation of large scale reservoir: proposing three approaches. 287-301 - Rajasekar Venkatesan, Meng Joo Er, Mihika Dave, Mahardhika Pratama, Shiqian Wu:
A novel online multi-label classifier for high-speed streaming data applications. 303-315 - Anthony Fleury, Edwin Lughofer, Moamar Sayed-Mouchaweh:
Editorial of the special issue: adaptive and intelligent systems (AIS) for learning, control and optimization in dynamic environments. 317-319
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