Learning momentum constant neuron monte carlo search

INDEX	mutation	221, 226, 250–1, 338
	mutation	221, 226, 250–1, 338

	MYCIN 10, 12, 15, 19, 40, 74, 76,
massaging data 329–30

McCulloch and Pitts neuron model 167–70

5, 169 neural expert system 262–8

triangle 93–4, 116–17, 271 evolutionary 285–7

membership value, see degree of feedback 188–9

WHEN NEEDED 133, 142, 146 defuzzification layer 273

Mexican hat function 206–7 fuzzification layer 269

momentum constant 185–6 neuron 166–8

Monte Carlo search 14, 245 artificial 168

output layer 175
convergence 183
learning 179–80
accelerated learning 185–8 multiple antecedents 26, 77, 105 multiple consequents 27, 105

NP-complete problem 8, 235 NP-hard problem 336
normalisation layer 279
normalised firing strength 279 numerical object 27

multi-valued logic 89

object-oriented programming 132

odds 67–8		INDEX
odds 67–8

		joint 59
offspring chromosome, see child		posterior 62

one-parent inheritence 138–40
operational database		procedure	133
operations of fuzzy sets 98–100		production model 30–1


intersection	99, 109

OPS 11, 30, 310
optical character recognition		prototype 306
323–4
optimisation 303, 336–9

ordered crossover		Q
output layer 175		query tool 351

output membership layer 272–3

overfitting 325 R

parent chromosome 222–3 goal-driven 38–40

parent node 352 symbolic 34

probabilistic OR 109, 273

rule table, see fuzzy rule table

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