Multiplying with synapses and neurons
Single neuron computation
On the Complexity of Function Learning
Machine Learning - Special issue on COLT '93
Classification by polynomial surfaces
Discrete Applied Mathematics
A generalization of Sauer's lemma
Journal of Combinatorial Theory Series A
The handbook of brain theory and neural networks
Perspective on neuron model complexity
The handbook of brain theory and neural networks
Spikes: exploring the neural code
Spikes: exploring the neural code
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
Bi-directional computing architecture for time series prediction
Neural Networks
Rapid Design of Neural Networks for Time Series Prediction
IEEE Computational Science & Engineering
A Solution for the N-bit Parity Problem Using a Single Translated Multiplicative Neuron
Neural Processing Letters
Improved generalized neuron model for short-term load forecasting
Soft Computing - A Fusion of Foundations, Methodologies and Applications
ScaleNet-multiscale neural-network architecture for time series prediction
IEEE Transactions on Neural Networks
Implementation of artificial intelligence in the time series prediction problem
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
PSO-based single multiplicative neuron model for time series prediction
Expert Systems with Applications: An International Journal
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Data mining using an adaptive HONN model with hyperbolic tangent neurons
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
A vector forecasting model for fuzzy time series
Applied Soft Computing
Prediction of chaotic time series using computational intelligence
Expert Systems with Applications: An International Journal
CRPSO-based integrate-and-fire neuron model for time series prediction
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
ACM Computing Surveys (CSUR)
Using multiplicative neuron model to establish fuzzy logic relationships
Expert Systems with Applications: An International Journal
A new linear & nonlinear artificial neural network model for time series forecasting
Decision Support Systems
A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization
Neural Processing Letters
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Single neuron models are typical functional replica of the biological neuron that are derived using their individual and group responses in networks. In recent past, a lot of work in this area has produced advanced neuron models for both analog and binary data patterns. Popular among these are the higher-order neurons, fuzzy neurons and other polynomial neurons. In this paper, we propose a new neuron model based on a polynomial architecture. Instead of considering all the higher-order terms, a simple aggregation function is used. The aggregation function is considered as a product of linear functions in different dimensions of the space. The functional mapping capability of the proposed neuron model is demonstrated through some well known time series prediction problems and is compared with the standard multilayer neural network.