Add to ORKGIn this paper, we study the properties of a new kind of complex domain artificial neural networks called complex adaptive spline neural networks (CASNN), which are able to adapt their activation functions by varying the control points of a Catmull-Rom cubic spline. This new kind of neural network can be implemented as a very simple structure being able to improve the generalization capabilities using few training epochs. Due to its low architectural complexity this network can be used to cope with several nonlinear DSP problem at high throughput rate
This paper presents a new neural architecture suitable for digital signal processing application. Th...
This paper presents a new neural architecture suitable for digital signal processing application. Th...
Complex-valued (CV) B-spline neural network approach offers a highly effective means for identificat...
Abstract- In this paper, we study the properties of a new kind of complex domain artificial neural n...
In this paper, we study the properties of a new kind of real and complex domain artificial neural ne...
We study a complex-domain artificial neural networks, called the adaptive spline neural network, def...
In this paper, we study the complex-domain arttficial neural networks called adaptive spline neural ...
In this paper, a new complex-valued neural network based on adaptive activation functions is propose...
in this paper, a new adaptive spline activation function neural network (ASNN) is presented. Due to ...
In this paper, neural networks based on an adaptive nonlinear function suitable for both blind compl...
In this paper, we study the theoretical properties of a new kind of artificial neural network, which...
This work concerns a new kind of neural structure that involves a multidimensional adaptive activati...
In this paper a new neural network architecture, based on an adaptive activation function, called ge...
In this paper, we study the properties of neural networks based on adaptive spline activation functi...
Presents a new neural architecture that is suitable for digital signal processing applications. The ...
This paper presents a new neural architecture suitable for digital signal processing application. Th...
This paper presents a new neural architecture suitable for digital signal processing application. Th...
Complex-valued (CV) B-spline neural network approach offers a highly effective means for identificat...
Abstract- In this paper, we study the properties of a new kind of complex domain artificial neural n...
In this paper, we study the properties of a new kind of real and complex domain artificial neural ne...
We study a complex-domain artificial neural networks, called the adaptive spline neural network, def...
In this paper, we study the complex-domain arttficial neural networks called adaptive spline neural ...
In this paper, a new complex-valued neural network based on adaptive activation functions is propose...
in this paper, a new adaptive spline activation function neural network (ASNN) is presented. Due to ...
In this paper, neural networks based on an adaptive nonlinear function suitable for both blind compl...
In this paper, we study the theoretical properties of a new kind of artificial neural network, which...
This work concerns a new kind of neural structure that involves a multidimensional adaptive activati...
In this paper a new neural network architecture, based on an adaptive activation function, called ge...
In this paper, we study the properties of neural networks based on adaptive spline activation functi...
Presents a new neural architecture that is suitable for digital signal processing applications. The ...
This paper presents a new neural architecture suitable for digital signal processing application. Th...
This paper presents a new neural architecture suitable for digital signal processing application. Th...
Complex-valued (CV) B-spline neural network approach offers a highly effective means for identificat...