… their properties with those of traditional Boolean logic circuits based on AND, OR and NOT …
multiple threshold neuron, which we call LTM, which stands for Linear Threshold with Multiple …

… based on the concept of multiple-valued threshold logic. In order to understand … neural
element, we will explain here the main notions connected with multiple-valued threshold logic…

… this paper a more powerful computing element, a multiple threshold neuron, which we call
LTM, which stands for Linear Threshold with Multiple transitions. Instead of the sign function in …

… of multiple-valued multiple-threshold perceptrons. We obtain a high capacity learning
algorithm for the multiple-valued multiple-threshold … the number of thresholds of multiple-valued …

… of Multi-Input V ariableThreshold (MI VT) cir cuits and their applications to Multi-V alued Logic
(… MI VT circuits are extensions of binary CMOS NAND and NOR gates to multi-valued logic. …

… of threshold logic gates that covers several decades. In this paper, we will mention early MOS
threshold logic … Weber, “On the design robustness of threshold logic gates using multi-input …

… of this paper to brief presentation of multiple-valued threshold logic over the field of complex
… a concept of multiple-valued threshold logic similarly to the one of Boolean threshold logic? …

… multiple-valued logic knowledge using neural network in this paper. A novel neuron model,
triplevalued or multiple-valued logic neuron (… sigmoid function, a threshold logic function, or a …

… neuron was fabricated in the standard 2 μm double-poly, analog process available from MOSIS.
We also designed and fabricated the multiple threshold … /multiple threshold elements, as …

… approach to learning of non-threshold k-valued multiple-valued function as a partially defined
m-valued threshold function by a single multi-valued neuron, we used a software simulator …