[PDF] Top 20 Recurrent neural network for dynamic portfolio selection
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Recurrent neural network for dynamic portfolio selection
... the dynamic portfolio selection problem is ...the dynamic security behavior. Then, the dynamic covariance matrix is estimated by the cross-covariance ...the dynamic ... See full document
8
Resource Allocation Neural Network in Portfolio Selection
... Portfolio selection is a resource allocation problem in the economic and finance ...of portfolio construction. Asset allocation of portfolio is concerned with the percentage of the overall ... See full document
4
A Recurrent Self-Evolving Interval Type-2 Fuzzy Neural Network for Dynamic System Processing
... and recurrent type-1 ...self-constructing neural fuzzy inference net- work (SONFIN) [29], which is a powerful network with both structure and parameter ...FNN for comparison is the interval ... See full document
14
Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network
... link neural network (FLNN) to the consequent part of fuzzy rules for promoting the mapping ...fuzzy neural network, the FLNN in the consequent part is a nonlinear function of input ... See full document
12
Supervisory recurrent fuzzy neural network control of wing rock for slender delta wings
... Moreover, an on-line parameter training methodology, using the gradient descent method and the Lyapunov stability theorem, is proposed to increase the learning capability. Finally, a compar- ison between the sliding-mode ... See full document
10
A recurrent self-organizing neural fuzzy inference network
... RSONFIN for temporal problems, several examples are presented in this section and performance comparisons with some existing recurrent neural networks as well as feedforward networks are also ... See full document
18
Recurrent-neural-network-based adaptive-backstepping control for induction servomotors
... drives for printers, tap recorders, robot manipulators, ...drives for high-performance applications [14], ...the dynamic behavior of the induction servomotor is rather similar to that of a separately ... See full document
8
A recurrent neural fuzzy network for word boundary detection in variable noise-level environments
... ered neural fuzzy network embedded with dynamic feedback connections (the feedback layer in ...feedforward neural fuzzy net- work. To give a clear understanding of the network ... See full document
14
Identification and control of dynamic systems using recurrent fuzzy neural networks
... nonlinear dynamic system. The RFNN is a recurrent multilayered connectionist network for realizing fuzzy inference and can be constructed from a set of fuzzy ...a recurrent neuron has ... See full document
18
Attribute selection for neural network-based adaptive scheduling systems in flexible manufacturing systems
... ctsu얀cc.nctu.edu.tw customer demand criteria, etc. Therefore, the profitability of using a capital-intensive FMS depends on the ability to control it efficiently. In order to make the task of controlling an FMS more ... See full document
13
A recurrent fuzzy cellular neural network system with automatic structure and template learning
... codes for representing different types of im- ages ...suitable for off-line instead of online ...better dynamic partitioning of the input–output space for the proposed ... See full document
12
The Algorithmic Parameters of a Fuzzy Dynamic Learning Neural Network
... 2 for various selection of the dissimilarity measure. For example, when the Euclidean distance was used, the kappa coefficient is ...78.98% for m equals ...results for different types ... See full document
12
Parallel thinning by a recurrent neural network
... The set of templates which the neural network tries to match is specially designed for a one-pass parllel thinning algorithm. The proposed neural network is shown both theoretically an[r] ... See full document
1
Real-time recurrent learning neural network for stream-flow forecasting
... of neural networks have been proposed in previous papers for applications in hydrological ...applied neural networks are classified as static neural networks, which are based on batch ... See full document
12
Supervisory recurrent fuzzy neural network control for long-term ecological systems
... supervisory recurrent fuzzy neural network control (SRFNNC) to deal with the long-term management of ecological system, which is an uncertain nonlinear system subject to unpredictable but bounded ... See full document
7
Optimal control algorithm and neural network for dynamic groundwater management
... Porosity 0Ð2 Specific yield 0Ð1 Cost per kilowatt-hour $1Ð35 displays a hypothetical and unconfined aquifer to demon- strate the algorithm performance described above. The 3000 m ð 5000 m site includes 77 finite-element ... See full document
9
A diagonal recurrent neural network based FES system for the knee joint position control
... A diagonal recurrent neural network (DRNN) based functional electrical stimulation (FES) system was designed to control the knee joint to move in accordance with the desir[r] ... See full document
2
A novel algorithm for uncertain portfolio selection
... Conclusions Portfolio selection problem has been a popular issue in the finance area since ...uncertain portfolio selection and the small sam- ple ...uncertain portfolio selection ... See full document
10
A novel hybrid model for portfolio selection
... 6. Conclusions Portfolio selection problem has been a popular issue in the finance area since the 1950Õs. However, the conventional mean–variance method can not provide the satisfied solution under the small ... See full document
16
Integration of Optimal Dynamic Control and Neural Network for Groundwater Quality Management
... ANN for regional groundwater level simulations in the field data (Coppola et ...the dynamic decision process but increases a little ...response for decision ...model for an appropriate ... See full document
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