A number of recent improvements to the design of associative memories for CMAC systems are described. These are (i) an improved scheme for allocating C weights to a given input vector in Rn, (ii) design of receptive field shapes within the hypercube associated with an individual weight (including some experimental evaluations of these shapes), (iii) matching the field shapes to the hypercube itself using the concept of superspheres, (iv) speeding up the convergence of the weight training procedure
Cerebellar Model Articulation Controller Neural Network is a computational model of cerebellum which...
The cerebellum has major role in the human motor control to coordinate the motion. The cerebellar mo...
[[abstract]]The Cerebellar Model Articulation Controller(CMAC) is a neural network model, which is v...
First, the cerebellar model articulation controller (CMAC), invented in the early 1970s by J S Albus...
The human cerebellum is a major brain construct that facilitates the learning and acquisition of mot...
applications. A self-constructing learning algorithm, which consists of the self-clustering method (...
Abstract:- Cerebellar Model Articulation Controllers (CMACs) are a biologically-inspired neural netw...
Cerebellar Model Articulation Controllers (CMACs) are a biologically-inspired neural network system ...
The Cerebellar Model Articulation Controller (CMAC) is a neural network inspired by the neurophysiol...
[[abstract]]The Cerebellar Model Articulation Controller (CMAC) is a lattice-based Associative Memor...
CMAC is an artificial neural network which represents the cerebellum model. This network has the cap...
The Albus CMAC (Cerebellar Model Articulation Controller), has been widely used for signal processin...
Cerebellar Model Articulation Controller (CMAC) is an artificial neural network that uses a postulat...
[[abstract]]The Cerebellar Mode Articulation Controller (CMAC), one kind of Neural Network, is well ...
The main limitation of the CMAC (Cerebellar Model Articulation Controller) network in realistic appl...
Cerebellar Model Articulation Controller Neural Network is a computational model of cerebellum which...
The cerebellum has major role in the human motor control to coordinate the motion. The cerebellar mo...
[[abstract]]The Cerebellar Model Articulation Controller(CMAC) is a neural network model, which is v...
First, the cerebellar model articulation controller (CMAC), invented in the early 1970s by J S Albus...
The human cerebellum is a major brain construct that facilitates the learning and acquisition of mot...
applications. A self-constructing learning algorithm, which consists of the self-clustering method (...
Abstract:- Cerebellar Model Articulation Controllers (CMACs) are a biologically-inspired neural netw...
Cerebellar Model Articulation Controllers (CMACs) are a biologically-inspired neural network system ...
The Cerebellar Model Articulation Controller (CMAC) is a neural network inspired by the neurophysiol...
[[abstract]]The Cerebellar Model Articulation Controller (CMAC) is a lattice-based Associative Memor...
CMAC is an artificial neural network which represents the cerebellum model. This network has the cap...
The Albus CMAC (Cerebellar Model Articulation Controller), has been widely used for signal processin...
Cerebellar Model Articulation Controller (CMAC) is an artificial neural network that uses a postulat...
[[abstract]]The Cerebellar Mode Articulation Controller (CMAC), one kind of Neural Network, is well ...
The main limitation of the CMAC (Cerebellar Model Articulation Controller) network in realistic appl...
Cerebellar Model Articulation Controller Neural Network is a computational model of cerebellum which...
The cerebellum has major role in the human motor control to coordinate the motion. The cerebellar mo...
[[abstract]]The Cerebellar Model Articulation Controller(CMAC) is a neural network model, which is v...