Pages that link to "Item:Q553245"
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The following pages link to Convergence analysis of online gradient method for BP neural networks (Q553245):
Displaying 27 items.
- Modeling of complex dynamic systems using differential neural networks with the incorporation of a priori knowledge (Q669392) (← links)
- Convergence of an online split-complex gradient algorithm for complex-valued neural networks (Q965772) (← links)
- Convergence analysis of batch gradient algorithm for three classes of sigma-pi neural networks (Q1009343) (← links)
- Convergence of gradient method for Eelman networks (Q1030289) (← links)
- Convergence of an online gradient method for feedforward neural networks with stochastic inputs. (Q1427233) (← links)
- Deterministic convergence of an online gradient method for neural networks (Q1612376) (← links)
- Convergence analysis of an augmented algorithm for fully complex-valued neural networks (Q1669147) (← links)
- The convergence of stochastic gradient algorithms applied to learning in neural networks (Q1883924) (← links)
- Generalized extreme learning machine acting on a metric space (Q1933800) (← links)
- A smoothing interval neural network (Q1936019) (← links)
- Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty (Q1941594) (← links)
- The convergence analysis of spikeprop algorithm with smoothing \(L_{1/2}\) regularization (Q2179832) (← links)
- Fractional-order gradient descent learning of BP neural networks with Caputo derivative (Q2181039) (← links)
- Exponential input-to-state stability of quaternion-valued neural networks with time delay (Q2279375) (← links)
- Boundedness and convergence analysis of weight elimination for cyclic training of neural networks (Q2281677) (← links)
- Convergence analyses on sparse feedforward neural networks via group lasso regularization (Q2292940) (← links)
- Convergence of gradient method for a fully recurrent neural network (Q2380334) (← links)
- Efficient self-organizing multilayer neural network for nonlinear system modeling (Q2510805) (← links)
- Convergence of on-line gradient methods for two-layer feedforward neural networks (Q2739148) (← links)
- Neural Network On-Line Modeling and Controlling Method for Multi-Variable Control of Wastewater Treatment Processes (Q2930818) (← links)
- Functional data learning by Hilbert feedforward neural networks (Q3144041) (← links)
- Fixed/preassigned-time synchronization of quaternion-valued neural networks via pure power-law control (Q6055225) (← links)
- An online gradient-based parameter identification algorithm for the neuro-fuzzy systems (Q6081511) (← links)
- Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions (Q6149503) (← links)
- Nonstationary fuzzy neural network based on fcmnet clustering and a modified CG method with Armijo-type rule (Q6195435) (← links)
- The role of directed cycles in a directed neural network (Q6558459) (← links)
- Boundedness and convergence analysis of a pi-sigma neural network based on online gradient method and sparse optimization (Q6630932) (← links)